Customer Performance Lead Jobs

About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. About the role As an Enterprise Client Success Manager, you own the success of our most strategic customers. You build executive partnerships, drive long-term business outcomes, and help global organizations maximize the value of OfficeSpace. You combine strategic thinking with operational excellence. You leverage AI to surface insights, predict risk, and scale your impact—while building trusted relationships that keep people at the center of every customer experience. This version aligns with the OfficeSpace "High-Performance Innovator" voice by emphasizing active language, ownership, short paragraphs, and high information density. What you'll do Own the success, retention, renewal, and growth of a portfolio of enterprise customers with complex organizational structures and executive stakeholders. Build trusted relationships with executive sponsors and business leaders, serving as a strategic advisor throughout the customer lifecycle. Lead enterprise onboarding, adoption, and value realization strategies that accelerate measurable business outcomes. Develop and execute strategic Success Plans aligned to customer objectives, adoption milestones, and long-term business goals. Leverage AI-powered Customer Success platforms to monitor customer health, predict churn risk, recommend next-best actions, and uncover expansion opportunities. Lead executive Quarterly Business Reviews (QBRs) that connect product adoption to me

Role Overview You are a senior product leader who wants to shape how AI transforms IT and cyber risk management at scale. In this role, you will own one of the most strategic product areas in a global GRC SaaS platform, defining how organisations identify, assess, and act on cyber risk — and how CISOs and boards get the clarity they need when it matters most. You will set and drive the product vision, roadmap, and outcomes for IT & Cyber Risk on a multi-solution platform used by enterprises worldwide. You will partner closely with engineering, design, data science, and senior leaders to build AI-native capabilities that automate risk detection, prioritisation, and reporting. Your work will have high executive visibility, real strategic weight, and direct impact on how customers manage governance, risk, and compliance. Here’s a breakdown of what you’ll do (not all of it, just the important stuff) Lead the end-to-end product strategy and roadmap for IT & Cyber Risk, aligning to company objectives and broader platform direction. Design and deliver AI-powered features (LLMs, agents, ML models) that automate risk identification, assessment, and reporting for enterprise security and risk teams. Partner with engineering, data science, and design to define technical approaches, ship high-quality releases across web, mobile, and API, and iterate using product analytics. Develop deep market and customer insight by engaging regularly with CISOs, security leaders, and risk managers, and turn those insights into clear product bets. Define, track, and communicate product KPIs, AI performance metrics, and north star outcomes to senior stakeholders, including business cases for major investments. Work cross-functionally with Sales, Customer Success, Professional Services, and Marketing to ensure successful launches and adoption of new IT & Cyber Risk capabilities. These are the essentials you’ll need to get an interview 7+ years of product management experience, includi

ROLE SUMMARY We are looking for a Senior Data Scientist to lead complex data science engagements that combine traditional statistical modelling with Generative AI. You will work hands-on with very large datasets across disparate systems and formats, translate ambiguous business problems into rigorous analytical solutions, and present those solutions clearly to C-level stakeholders. This is a delivery-first role with a fast track into technical leadership: alongside your own project work, you will help guide junior data scientists and shape how Lynx builds and ships data science solutions. KEY RESPONSIBILITIES Solution Design & Delivery Design and deliver end-to-end solutions for defined data science problems, combining classical modelling, data transformation, and Generative AI / LLM techniques. Work hands-on with very large datasets across disparate stores and formats, from ingestion and transformation through to modelling and validation. Apply statistical and machine learning methods to business problems such as customer retention, campaign management, and commercial performance optimisation. Client Communication & Leadership Present results and prepare client-ready materials for project stakeholders, including C-level audiences, translating technical work into clear business narratives. Lead smaller data science workstreams, with support from internal leadership and the PMO, including day-to-day guidance for junior team members. Partner with delivery and account teams to scope problems, set realistic timelines, and manage stakeholder expectations. Knowledge Building Create reusable documentation, presentations, and code libraries during projects so future engagements can build on prior work. Participate in internal education, research, and knowledge-sharing initiatives that raise the technical bar across the practice. SKILLS, QUALIFICATIONS AND EXPERIENCE 8+ years of overall experience in data science, with a track record of leading analytic

About the Role We are looking for an experienced Category Lead to build, own, and scale a high-potential category from the ground up. This is a high-impact, entrepreneurial role that combines business ownership, product thinking, strategy, and execution. The role will be responsible for defining the category strategy, identifying growth opportunities, building customer-centric solutions, and driving the business towards scale and profitability. The ideal candidate will have a strong track record of owning and scaling businesses or categories, with the ability to operate across product, growth, operations, and commercial functions. What You'll Do - Own the end-to-end strategy, growth, and P&L for the category. - Define and build customer-first financing journeys where customers pay interest only on the amount utilized, enabling a flexible and efficient borrowing experience. - Develop and execute strategies to drive customer acquisition, engagement, utilization, retention, and overall category growth. - Use data, customer insights, and experimentation to continuously optimize the product and business performance. - Track and improve key metrics including portfolio growth, customer adoption, utilization, profitability, and unit economics. - Partner closely with Product, Technology, Risk, Operations, Marketing, and other cross-functional teams to execute the category strategy. - Work closely with senior leadership to identify, launch, and scale new business initiatives as part of Paytm’s new venture. - Operate with a zero-to-one mindset, taking ownership from identifying the opportunity through to building a scalable business. What We're Looking For - 10+ years of experience in Category Management, Product Management, Business Management, General Management, or a similar role. - Proven experience owning and scaling a business, category, or product with measurable impact on growth and profitability. - Strong understanding of customer journeys, marketplaces, merchant ec

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you'll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads — LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You're helping teams reach outcomes most engineers can't on their own. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems. You will: Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and optimize production AI workloads

About Us: AI needs a new infrastructure layer. We're building it at Modal. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Lovable , Ramp , Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September. Our team includes creators of popular open-source projects (e.g., Seaborn , Luig i ), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. The Role: We're looking for Forward Deployed ML Engineers who want to work at the intersection of deep technical work and direct customer impact. As an ML FDE, you'll partner with leading AI companies and foundation model labs to help them achieve state-of-the-art performance on their most demanding workloads — LLM serving, model training (SFT, RLHF), audio pipelines, scientific computing, and more. You're helping teams reach outcomes most engineers can't on their own. The FDE team today includes world-class software engineers, computational scientists, ML engineers, and former founders. We're looking for people with strong engineering fundamentals, deep curiosity across the AI stack, and energy for working directly with customers on hard problems. You will: Work hands-on with companies like Suno, Lovable, Cognition, and Meta to architect and optimize production AI workloads

About the Role Anyscale is seeking a Senior / Staff Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads. This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for Anyscale RunTime, our high-performance commercial engine. You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires: Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffs Working closely with customers and open source users to draw the subtle line between growth and commercialization Strategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value. Thinking deeply about and clearly articulating the product strategy to stakeholders Key Responsibilities Drive the Ray Data product roadmap - Balance open source Ray Data feature development with Anyscale Runtime commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and Anyscale Runtime remains sufficiently compelling. Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrations Market Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation. Customer engagement - Drive key customer engagements assisting sales and field engineering teams. Required Qualifications 4+ years of product management experience with technical products Strong technical background in distributed systems, ML infrastructure, or data processing Experience working

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving technologies, forecast supply chain disruptions, locate missing children, improve the efficacy of the American government, and more. The Program Neurodivergent individuals will play a disproportionate role in shaping the future of America and the West. They see past performative ideologies and perceive beauty in the world that still exists — which technology and art can expose. The current LLM tech landscape positions them to dominate. Pattern recognition. Non-linear thinking. Hyperfocus. The cognitive traits that make the neurodivergent different are precisely what make them exceptional in an AI-driven world. Palantir is launching the Neurodivergent Fellowship as a recruitment pathway for exceptional neurodivergent talent. This is not a diversity initiative. We believe neurodivergent individuals will have a competitive advantage as elite builders of the next technological era, and we're hiring accordingly for all roles. This program is designed for those who think differently, and that's the point. Whether you're self-taught, formally educated, or somewhere in between, we're looking for builders who can see patterns others miss and solutions others overlook. The Role You'll join Palantir as a full-time employee to build software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. We move fast. We expect excellence. We don't require you to sit still. What We’re Looking For We want excellent people from any background (no formal diagnosis o

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving technologies, forecast supply chain disruptions, locate missing children, improve the efficacy of the American government, and more. The Program Neurodivergent individuals will play a disproportionate role in shaping the future of America and the West. They see past performative ideologies and perceive beauty in the world that still exists — which technology and art can expose. The current LLM tech landscape positions them to dominate. Pattern recognition. Non-linear thinking. Hyperfocus. The cognitive traits that make the neurodivergent different are precisely what make them exceptional in an AI-driven world. Palantir is launching the Neurodivergent Fellowship as a recruitment pathway for exceptional neurodivergent talent. This is not a diversity initiative. We believe neurodivergent individuals will have a competitive advantage as elite builders of the next technological era, and we're hiring accordingly for all roles. This program is designed for those who think differently, and that's the point. Whether you're self-taught, formally educated, or somewhere in between, we're looking for builders who can see patterns others miss and solutions others overlook. The Role You'll join Palantir as a full-time employee to build software and deliver customer outcomes. You'll work on real problems: helping customers deploy AI-powered solutions, building the software platforms of the future, and transforming how organizations operate. You'll be held to the same performance standards as any Palantir engineer, and your career progression will be based purely on merit and impact. We move fast. We expect excellence. We don't require you to sit still. What We’re Looking For We want excellent people from any background (no formal diagnosis o

The APJ Sales Enablement Team empowers our Sales and Customer Success teams with the right information, skills, and tools throughout their tenure at Datadog in order to maximise their ability to land, expand, and drive Datadog’s next phase of growth across the region. We act as strategic partners to the APJ Leadership Team, ensuring they have the support they need to achieve their goals. We need a player-coach to deliver key Sales Enablement programs and lead our team of regional Sales Field Enablement Managers. This role reports to the Director of GTM Enablement & Business Value, APJ. 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 Build, lead, and empower a high-performing team of Sales Field Enablement Managers as they deliver world-class enablement programs to the field Regularly shadow, provide feedback to, and coach your team to ensure training effectiveness Hold frequent career and development conversations with your direct reports to help them reach their potential Deliver live and virtual sales onboarding and ongoing training programs that equip sellers and sales leaders with the essential knowledge and skills required to be successful in their role Partner with the global Sales Field Enablement team to evolve our field listening methodology—contributing an APJ lens to how it's designed, documented, and connected to data—and coach the APJ team to apply it consistently and well, ensuring regional insights flow back into global strategic initiatives Partner with Strategic Operations to synthesise field listening and performance data into a consolidated view of what is driving or inhibiting Sales performance across APJ in order to shape regional and global enablement strategy Provide on-the-spot training and coaching, and curate workshops for se

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in the United States. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate t

We’re looking for a Senior Engineering Manager who is ready to lead through ambiguity and improve how software gets built at MongoDB. This role leads teams focused on developer productivity, with an emphasis on measurable improvements to the software development lifecycle. This role can be based remotely in Canada. The Team The AXIS team (AI, X-functional tools, Insights, and Signals) sits within Developer Productivity and is responsible for overseeing the metrics and observability infrastructure of our expansive developer environment to help build a strong data-driven culture. You’ll also be a key partner in building the agentic ecosystem for AI-driven development across engineering. Candidate Profile We’re looking for an experienced leader with a passion for solving the big challenge of measuring developer productivity and providing the actionable signals that help teams improve their performance. They should be comfortable working collaboratively with other leaders and partners across our Engineering and Data teams in maximizing the use of data for insights and AI enablement. The right candidate for this role will have 4+ years of experience managing software engineers, including hiring, performance management, growth planning, and compensation; required for external candidates and preferred for internal candidates 8+ years of hands-on software engineering experience building and operating production systems; experience in developer tooling, platform engineering, observability, or data engineering is a strong plus Demonstrated the ability to lead through ambiguity, work across team boundaries, and deliver outcomes without close supervision Strong customer orientation and sound judgment in finding practical, high-leverage solutions Experience working with systems involving analytics, data pipelines, and metrics platforms Experience with AI tools development and enablement efforts Strong technical judgment, including the ability to evaluate tradeoffs, i

Role Description As the Head of Sales Compensation & Planning within the Customer Strategy & Operations (CSO) organization, you will define and lead Dropbox's global sales compensation, quota strategy, and incentive planning framework. You will be responsible for shaping the philosophy, governance, and execution of compensation programs that drive revenue growth, profitability, and seller productivity across multiple routes to market. This leader will partner closely with Executive Sales Leadership, Finance, Accounting, HR, and Strategy to translate business objectives into scalable incentive programs, quota methodologies, and sales planning decisionsthat accelerate performance while ensuring financial discipline. Beyond leading one of Dropbox's most business-critical operational functions, this role will influence how Dropbox motivates its global sales organization, aligns incentives to business strategy, and evolves our go-to-market model over time. The ideal candidate combines deep expertise in sales compensation and planning with strong commercial acumen, executive presence, and the ability to influence senior stakeholders through data-driven recommendations. Reporting to the Head of Revenue Operations, this role will have significant visibility across Dropbox's executive leadership team and serve as a trusted advisor on sales performance, incentive strategy, and organizational planning. Responsibilities Define Dropbox's long-term sales compensation philosophy, quota methodology, and incentive governance aligned to evolving business strategy. Serve as the primary advisor to Executive Sales Leadership, Finance, and CSO leadership on compensation strategy, seller productivity, and annual planning decisions. Influence executive decision-making through data-driven recommendations balancing revenue growth, profitability, customer outcomes, and employee motivation. Evaluate market trends and emerging GTM models to continuously evolve Dropbox's compensation and

Role Description As the Head of Sales Compensation & Planning within the Customer Strategy & Operations (CSO) organization, you will define and lead Dropbox's global sales compensation, quota strategy, and incentive planning framework. You will be responsible for shaping the philosophy, governance, and execution of compensation programs that drive revenue growth, profitability, and seller productivity across multiple routes to market. This leader will partner closely with Executive Sales Leadership, Finance, Accounting, HR, and Strategy to translate business objectives into scalable incentive programs, quota methodologies, and sales planning decisionsthat accelerate performance while ensuring financial discipline. Beyond leading one of Dropbox's most business-critical operational functions, this role will influence how Dropbox motivates its global sales organization, aligns incentives to business strategy, and evolves our go-to-market model over time. The ideal candidate combines deep expertise in sales compensation and planning with strong commercial acumen, executive presence, and the ability to influence senior stakeholders through data-driven recommendations. Reporting to the Head of Revenue Operations, this role will have significant visibility across Dropbox's executive leadership team and serve as a trusted advisor on sales performance, incentive strategy, and organizational planning. Responsibilities Define Dropbox's long-term sales compensation philosophy, quota methodology, and incentive governance aligned to evolving business strategy. Serve as the primary advisor to Executive Sales Leadership, Finance, and CSO leadership on compensation strategy, seller productivity, and annual planning decisions. Influence executive decision-making through data-driven recommendations balancing revenue growth, profitability, customer outcomes, and employee motivation. Evaluate market trends and emerging GTM models to continuously evolve Dropbox's compensation and

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the role Notion's Search & Context Platform is the substrate that powers how 100M+ users and, increasingly, Notion's agents find and reason over the right information. This team owns the search infrastructure and indexing systems powering lexical and semantic retrieval, the platform primitives for managing agent context and memories , and the scalability, performance, security, and enterprise capabilities that make all of it production-grade. Data growth is faster than ever, and the systems that power this need to rapidly evolve to support an order of magnitude growth—both in the volume of content we index and in the load that agents now place on the retrieval layer. As the Engineering Manager for this team, you'll lead a technically deep group of engineers building platform systems used by multiple product teams. Your most important customers are the Search & Context product team and the AI team (building agents on top of these primitives). You'll set the technical direction, product manage the platform scope on behalf of those customers, and make hard tradeoffs to move fast in service of product velocity — while keepi