AI Analytics Engineer - AI & Analytics Platform

Airtable is seeking a talented AI Analytics Engineer to join our dynamic marketing analytics team. In this role, you will leverage advanced analytics and machine learning techniques to derive insights from marketing data, drive strategic decisions, and optimize our marketing initiatives.

Join Airtable as an AI Analytics Engineer, where you'll play a pivotal role in transforming business insights through advanced data analytics and AI technologies. Collaborate with cross-functional teams to develop and implement data-driven solutions that enhance operational efficiency and decision-making processes.

About the RoleWe are seeking a dynamic and entrepreneurial product leader for the position of Associate Director of Product (AI Platform). In this key role, you will spearhead our product strategy to enhance the capabilities of the Gravity platform, aiming to reach and serve millions of users. This is a pivotal opportunity to lead and expand our product team, directly impacting the healthcare landscape.A Day in the LifeChampion the AI product roadmap for the Intelligence layer of Gravity, focusing on Search, Agents, Orchestration, and Explainability from backlog to general availability.Engage deeply with health system customers to identify production challenges with AI and incorporate these insights into the product roadmap.Transition early-stage projects from pilot to production, transforming initial deployments into enterprise-grade solutions.Collaborate closely with engineering teams to deliver products efficiently, leveraging AI-assisted development practices and ensuring high quality and rapid resolution of bottlenecks.Establish and uphold AI quality standards, focusing on confidence scoring, hallucination thresholds, audit trails, and explainability.Develop Agent Lifecycle Management capabilities to streamline the build, test, deploy, and monitoring processes for agents at scale.Evaluate build, buy, or partner options for AI orchestration, validating hypotheses with engineering and partners like Databricks and LangChain.Lead customer-facing AI discussions, translating complex AI concepts into tangible business and clinical value.Work across time zones, collaborating with India-based engineering and PM teams, and traveling to India quarterly to foster relationships.Formulate frameworks and strategies to assess the competitive landscape and explore potential data partnerships.Design for international expansion to facilitate quicker market launches and partnerships.This is an onsite role based in San Francisco, CA, requiring five days a week in the office.

About the RoleAs a Senior Manager of Go-To-Market (GTM) and AI Analytics at ivo, you will dive deep into the world of AI, exploring what 'usage' signifies in products that operate autonomously. You'll uncover how to measure the value delivered versus the sessions logged, and identify leading indicators of growth even when user interactions are minimal.In this role, you're not just analyzing data; you're redefining how we understand the impact of our AI products on customer value. Your expertise will allow us to measure analytics in ways that far surpass traditional methods, leveraging advanced AI tools for deeper insights and quicker assessments.You will play a pivotal role in diagnosing data trends: whether it’s a slowdown in the pipeline or stagnation in expansion efforts, you'll pinpoint the issues at the stage, segment, and representative levels before they become apparent to others. This proactive stance will empower you to build propensity models, highlight opportunities for growth, and provide actionable insights to our VP of Customer Success Management.This position is not your conventional analytics job. At ivo, we are pioneering AI solutions that engage customers in innovative ways, such as autonomous contract reviews and LLM-powered query systems. The traditional metrics of engagement may not fully apply here, as your role will include inventing new frameworks to measure business impact when our AI interacts independently with clients.Reporting directly to the VP of Revenue Strategy & Operations, you will oversee all aspects of GTM analytics, including pipeline health, forecasting models, win/loss analysis, rep productivity, territory performance, and churn risk. You will also analyze product usage metrics to understand the link between customer interaction with AI and their renewal and advocacy behaviors.As pricing strategies shift towards usage-based and API consumption models, you will be responsible for developing consumption analytics, connecting product telemetry to revenue, and quantifying the ROI of our strategic initiatives.

About the RoleAs a Senior Manager of Go-To-Market (GTM) & AI Analytics, you will play a pivotal role in understanding product usage in autonomous environments. Your expertise will drive insights on value delivery versus logged sessions and identify key indicators of expansion when user interaction is minimal.You will leverage AI as both a subject of analysis and a tool for analysis, enabling faster, deeper insights into how our AI products create value for customers.Your analytical prowess will make you the go-to person for understanding the movements of key metrics and formulating actionable strategies. Whether diagnosing pipeline slowdowns or addressing stalls in expansion, you will be equipped to build propensity models and identify opportunities for growth.This position transcends traditional analytics roles, as you will contribute to measuring engagement with innovative AI products that redefine customer interaction. You will create new frameworks to assess the business impact of products that think and act independently, ensuring we stay ahead in a rapidly evolving market.You will report directly to the VP of Revenue Strategy & Operations, owning the entire scope of GTM analytics, including pipeline health, forecasting, win/loss analysis, and customer interaction metrics. Your collaboration with the Director of GTM Operations and the Director of GTM Systems & Automation will be essential in driving data-driven actions.As pricing models evolve towards usage-based and outcome-oriented structures, you will pioneer consumption analytics that correlate product telemetry with revenue, activation, retention, and expansion insights. Your ability to quantify ROI on strategic initiatives will be crucial for data-driven decision-making.

About Collective Collective helps solo entrepreneurs run their businesses with less hassle. Our technology and team of advisors make it easier for members to handle incorporation, accounting, bookkeeping, and taxes, all in one place. The goal: give self-employed professionals the same tax advantages as large companies, so they can focus on what matters most to them. Our work has been highlighted in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, and TechCrunch. Investors backing Collective include General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, and Google's Gradient Ventures. Many have also supported brands like YouTube, Substack, and Lyft. Role Overview: AI Data Engineer Collective is looking for a Senior AI Data Engineer to build an internal data agent platform. The mission: make company data accessible to employees, so anyone can ask questions in plain English and get reliable insights or dashboards in return. This role blends AI systems, data infrastructure, and product engineering. The work goes beyond building a system, it requires attention to data integrity, consistency, and reliability throughout. The team is searching for someone who can set a technical direction, design the data architecture, and help drive adoption of these new tools across the company. What You Will Do Develop Agent Infrastructure Build systems for data retrieval, planning, and execution using real company data Enable multi-step reasoning and analytical workflows Connect the agent platform with internal tools Create an End-to-End Analytics System Develop a natural language interface for the entire data stack Allow employees to run complex analyses without SQL Manage and Enhance the Data Layer Work with product engineering teams to design and improve clean, consistent data models Continuously raise the quality and accessibility of company data Location San Francisco

At Perplexity, we believe in harnessing the power of AI to exceed expectations. This role is pivotal in ensuring our data team embodies that philosophy, placing AI at the core of our operations.We seek an exceptional individual with a strong background as a data scientist, analytics engineer, or data engineer. You are the type of professional who understands which metrics hold true significance, can design insightful A/B tests, and delve into data models to uncover discrepancies. Importantly, you recognize that your highest impact opportunity lies in creating AI systems that revolutionize the practice of data science.This is not about developing another text-to-SQL bot or merely producing another dashboard. Instead, you'll create AI agents capable of performing comprehensive analyses autonomously – generating hypotheses, executing queries, interpreting outcomes, and crafting actionable recommendations. Your work will ensure that our entire data warehouse is AI-accessible, enabling any system to query it with precision. You'll engineer self-correcting pipelines that identify and resolve data issues proactively. Your contributions will empower a lean data team to operate with the efficiency of a much larger organization.Join a forward-thinking data team that already integrates AI into its processes, yet recognizes the vast potential that lies ahead. With full support from leadership, we are committed to transforming our initial efforts into a world-class framework: scalable systems, innovative tools, and an AI-first approach that not only elevates our status but also propels the industry forward.What You'll DoEnhance the AI-driven data workflow - Building on existing successes, you will establish repeatable systems and scalable tools that the data team and the broader organization can adopt.Create AI agents for data science - Your focus will be on developing agents that not only handle SQL inquiries but also manage end-to-end analyses: exploring data, formulating hypotheses, executing queries, interpreting results, and delivering actionable insights.Make the data warehouse AI-friendly - Design the semantic layers, context, and retrieval systems that enable any AI platform (internal or external) to query Perplexity's data effectively and reliably.Automate the data lifecycle - Implement self-healing pipelines, automated dbt model creation and validation, and data quality agents that autonomously detect and resolve issues.Deliver AI-enhanced experiment analysis - Develop agents capable of interpreting A/B test results, identifying statistical anomalies, and providing thoughtful insights.

At ClickUp, we are not just creating software, we are crafting the future of work! In a landscape saturated with work complexities, we envisioned a better solution. This vision led to the development of the first genuinely integrated AI workspace, seamlessly combining tasks, documents, chat, calendar, and enterprise search, all enhanced by context-sensitive AI. This empowers millions of teams to break down barriers, reclaim their time, and elevate productivity to new heights. Here at ClickUp, you will have the chance to learn, leverage, and innovate with AI in ways that will not only transform our product but also redefine the future of work itself. Join us in being part of a daring, innovative team that is reshaping possibilities! Role Overview:We are in search of a highly talented and experienced Staff AI Engineer – AI Platform to become a vital member of our ClickUp Engineering team. In this pivotal role, you will significantly contribute to the development of our core AI platform and directly utilize large language models (LLMs) to implement intelligent features across ClickUp. Your focus will be on back-end systems that facilitate scalable, dependable, and secure AI-driven capabilities, while also engaging hands-on with LLMs to address real user challenges and propel product innovation.Key Responsibilities:Design, architect, and implement scalable AI platform services to support the deployment, orchestration, and lifecycle management of LLMs and other AI models.Utilize LLMs and other AI technologies to build and enhance ClickUp’s intelligent features, collaborating closely with product and engineering teams to deliver impactful solutions.Develop and maintain robust APIs and backend systems that facilitate seamless integration of AI-enhanced features into ClickUp’s core platform.Create infrastructure for model serving, monitoring, logging, and automated evaluation to ensure high reliability and performance of AI services in production.Integrate with various LLM providers (e.g., OpenAI, Anthropic, Google) and manage model selection, routing, and fallback strategies for optimal performance and cost-efficiency.Promote best practices in AI privacy, security, and compliance, including data anonymization and secure data handling.Optimize platform performance, scalability, and cost-efficiency, utilizing cloud-native technologies and distributed systems.Stay abreast of advancements in AI infrastructure, MLOps, and LLM applications, and proactively apply relevant innovations to ClickUp’s AI platform.Collaborate cross-functionally with teams to drive AI initiatives.

Join Arena Intelligence as an Analytics Engineer!Arena Intelligence is a pioneering platform devoted to assessing the performance of AI models in real-world scenarios. Founded by talented researchers from UC Berkeley's SkyLab, our mission is to advance AI applications through rigorous evaluation and transparency.Each month, millions engage with Arena Intelligence to comprehend the effectiveness of cutting-edge AI systems, and we leverage our community’s insights to foster trustworthy and user-centric model evaluations. Top enterprises and AI laboratories depend on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards set the standard for AI performance, earning trust from industry leaders and steering global discussions on model reliability.Our dynamic team consists of researchers, engineers, and innovators with backgrounds from prestigious institutions such as UC Berkeley, Google, and Stanford. We prioritize truth, speed, and craftsmanship while maintaining an inclusive environment where passionate minds from diverse backgrounds can excel. Our workplace embodies excellence, energy, and concentration.Role OverviewWe are looking for an experienced Analytics Engineer to build and manage the data infrastructure that supports real-world AI evaluations. You will be responsible for designing and implementing analytics-ready data models, pipelines, and metrics that transform raw user data and votes into valuable insights for our stakeholders.This role is positioned at the intersection of data engineering, analytics, and product development. You will collaborate closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure accuracy and scalability of our evaluation data. Your contributions will significantly influence how AI performance is assessed and interpreted across the sector.We seek someone who is passionate about crafting clean, robust data systems, values data integrity, and desires to see their work drive product decisions and benefit our external clients.

About SentryAt Sentry, we are determined to eradicate bad software. Our mission is to empower developers to create superior software more efficiently, allowing us all to enjoy technology again.With over $217 million in funding and a community of more than 100,000 organizations, including industry leaders like Disney, Microsoft, and Atlassian, we are crafting performance and error monitoring tools that enable teams to focus on building innovative products rather than squashing bugs.Embracing a hybrid work model, Sentry encourages collaboration by designating Mondays, Tuesdays, and Thursdays as in-office days across our global hubs. If you're passionate about creating tools that enhance the digital experience, we invite you to join us in building the future of software monitoring.About the RoleAs a member of our Event Analytics Platform (EAP) team, you will be at the forefront of developing the infrastructure that supports Sentry’s capabilities to handle time-series data and search functionalities across billions of events with remarkable speed. This initiative includes our innovative Snuba system, which acts as the primary storage and query service fueled by ClickHouse.In this role, you will expand the data visibility at Sentry by enhancing our search infrastructure, developing new capabilities atop our advanced storage solutions, and boosting the performance and integrity of our core data services. You will play a key role in shaping the technical vision of our Infrastructure team and collaborate closely with Product and Engineering teams to transform that vision into reality.If you are eager to tackle the complexities of scaling event data into the petabyte range, this opportunity is ideal for you.Key Responsibilities:Enhance EAP's capabilities to deliver data with exceptional speed and reliability.Design and automate systems and services to ensure reliable scaling amidst rising demand.Evaluate architectural decisions that harmonize product goals with engineering limitations.Promote and uphold high code quality standards through regular code reviews and contributions to design discussions.Lead the development of innovative data solutions to enhance user insights.

About Our TeamThe Scaling team at OpenAI is dedicated to designing, constructing, and managing essential infrastructure that powers groundbreaking research.Our mission is straightforward: to expedite the advancement of research towards Artificial General Intelligence (AGI). We achieve this by developing foundational systems that researchers depend on, spanning from core infrastructure elements to specialized applications tailored for research. Our systems are designed to scale efficiently with the growing complexity and size of our workloads while ensuring reliability and user-friendliness.About the PositionWe are seeking a Senior Software Engineer to take charge of critical production infrastructure from start to finish.This role primarily focuses on backend and systems engineering, with a strong emphasis on low-level performance, distributed systems, and the hands-on management of vital services at scale. You will be responsible for transforming ambiguous challenges into actionable plans, delivering pragmatic solutions promptly, and refining them based on real-world feedback and iterations.This position goes beyond a standard Python backend role; we are specifically on the lookout for candidates with robust systems experience in Rust or C++, particularly in performance-sensitive infrastructure.This is an in-office role based in San Francisco, CA, following a hybrid model of three days in the office per week. We also provide relocation assistance for new hires.Your ResponsibilitiesManage critical infrastructure throughout its lifecycle, including design, implementation, deployment, operation, and ongoing improvements.Develop and maintain high-performance backend systems in Rust or C++ that facilitate core research operations.Design and optimize distributed data and serving systems, considering partitioning, replication, consistency, retries, backpressure, and failure isolation.Identify and resolve production bottlenecks related to latency, throughput, contention, hot spots, and overload scenarios.Oversee mission-critical services, including on-call duties, incident management, postmortems, observability, deployment safety, and zero-downtime migrations.Enhance the reliability of services running on Kubernetes, focusing on resource tuning and failure management.Collaborate closely with engineers and researchers to deliver fast, dependable, and effective systems.Elevate standards through strong technical judgment, ownership, and commitment to quality.You Will Excel in This Role If You Have:A proven track record of owning and delivering operationally critical systems end to end in ambiguous settings.Experience with systems programming in Rust or C++.Strong analytical skills and a problem-solving mindset.Excellent communication and collaboration skills.

Amplitude stands at the forefront of AI-driven analytics, empowering over 4,700 clients—including esteemed names like Atlassian, Burger King, NBCUniversal, Square, and Under Armour—to enhance their products and digital offerings. Our innovative AI Agents integrated throughout the platform enable teams to rapidly analyze, test, and optimize user experiences. Recognized as the leading solution in various categories in G2’s Fall 2025 Report, Amplitude is the premier choice for product, data, and marketing teams. Discover more at amplitude.com.As a company, we are deeply committed to delivering exceptional results for our customers by embodying our core values. We approach our work with humility, take responsibility for both challenges and successes, embrace a growth mindset, and prioritize our customers in everything we do.Amplitude’s Commitment to Diversity, Equity & Inclusion (DEI): We believe that diversity drives the creation of superior products, enhances our ability to tackle complex challenges, and leads to more impactful solutions. Our aim is to cultivate an inclusive environment that promotes psychological safety, empathy, and genuine human connection, enabling all employees to thrive.About The Role & TeamWe are seeking a Fullstack Engineer to join our Core Analytics team, responsible for our flagship analytics product cherished by countless product teams globally. You will collaborate closely with our Product Manager and Designer to conceptualize, develop, and launch end-to-end features that enhance the Analytics experience. Your contributions will significantly shape product direction and ensure the delivery of high-performance, reliable, and enjoyable user experiences.Our engineers are driven by customer needs and tackle complex data challenges to improve user experience. We prioritize delivering value quickly and iteratively. If you are passionate about crafting exceptional data-driven experiences that empower businesses to understand their customers better, we would be thrilled to connect with you.The team’s mission is to create a fast, intuitive, and dependable Analytics platform that enables customers to confidently derive insights about their products while also spearheading infrastructure initiatives that enhance and scale the platform.As a Senior Engineer, you will:Collaborate with Product Management and Design to transform innovative ideas into engineering solutions that effectively address customer challenges.Drive business impact through...

Join Cloudflare as a Distributed Systems Engineer within our dynamic Data Platform team, focusing on Analytics and Alerts. In this position, you will play a pivotal role in building and optimizing distributed systems that power our data analytics capabilities, providing real-time insights and alerts to enhance our customer experience.

About Our TeamThe Applied team at OpenAI is dedicated to collaborating across research, engineering, product, and design disciplines to effectively deliver cutting-edge AI technology to both consumers and businesses. Our mission is to learn from real-world deployments, ensuring that the benefits of AI are distributed equitably while prioritizing responsible and safe use of this powerful technology. Here, safety takes precedence over unchecked growth.About the Role:We are on the lookout for a Senior Data Engineer to spearhead the development of our data pipelines and foundational data tables at OpenAI. These pipelines are essential for driving analyses, enhancing safety systems that inform business decisions, fostering product growth, and mitigating risks from malicious actors. If you have a passion for data and a desire to create impactful solutions, we want to hear from you! This role also offers the chance to work closely with the innovative researchers behind ChatGPT, assisting them in training new models for user delivery. As we continue to expand rapidly, we place immense value on data-driven insights, and your contributions will be crucial to our ongoing success. Join us in shaping the future of AI!Your Responsibilities Will Include:Designing, building, and maintaining our data pipelines, ensuring seamless integration of user event data into our data warehouse.Creating canonical datasets that track vital product metrics such as user growth, engagement, and revenue.Collaborating with diverse teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and deliver effective solutions.Implementing robust, fault-tolerant systems for data ingestion and processing.Participating in architectural and engineering decisions related to data management, leveraging your extensive experience.Ensuring data security, integrity, and compliance with industry standards and company policies.You Will Excel in This Role If You:Possess 3+ years of experience as a data engineer and at least 8 years in software engineering (including data engineering).Have proficiency in at least one programming language relevant to Data Engineering, such as Python, Scala, or Java.Bring experience with distributed processing technologies and frameworks like Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).Are well-versed in ETL schedulers such as Airflow, Dagster, Prefect, or similar tools.

Join Cloudflare as a Distributed Systems Engineer focusing on our Data Platform, where you will play a pivotal role in developing analytics and alert systems that enhance our services. You will collaborate with a talented team to design scalable and efficient systems to manage and analyze vast amounts of data. Your work will directly impact the performance and reliability of our offerings, ensuring our customers have the best possible experience.

Join LinkedIn as a Tech Lead in our Go-To-Market (GTM) Applied AI and Analytics team! In this pivotal role, you will harness your technical expertise and leadership skills to drive innovative solutions that enhance our analytics capabilities and improve customer engagement. You will collaborate with cross-functional teams to design and implement AI-driven analytics tools that empower our clients to make data-informed decisions.

The Scaling team at OpenAI builds and maintains the core infrastructure that supports research efforts. This group focuses on enabling rapid progress toward Artificial General Intelligence by providing the systems and tools researchers rely on every day. Their work covers everything from foundational infrastructure to specialized applications, all designed to handle increasing complexity and scale without sacrificing reliability or ease of use. Role overview OpenAI is seeking a Site Reliability Engineer to manage and improve the infrastructure behind its analytics platform. This position centers on supporting production systems that handle data-intensive, low-latency workloads. Key technologies include large-scale ClickHouse clusters, high-throughput Kafka pipelines, and stable integrations with Snowflake. The engineer in this role will turn ambiguous operational challenges into concrete solutions, deliver improvements quickly, and iterate based on real-world feedback. Success in this role means independently setting and raising operational standards, working closely with production systems, and collaborating across teams to ensure reliability at scale. Key responsibilities Manage the full lifecycle of infrastructure: provisioning, upgrades, scaling, and decommissioning using Infrastructure as Code (IaC). Operate and scale ClickHouse clusters, including sharding, replication, capacity planning, tuning, and maintenance. Run Kafka as the primary data ingestion layer, improving throughput, managing lag and backpressure, and ensuring robust failure recovery. Improve latency and reliability for workloads involving heavy data serving and querying. Develop and maintain monitoring and alerting systems, including SLIs/SLOs, dashboards, alert policies, and actionable runbooks. Create and refine incident response protocols, on-call procedures, and postmortem practices. Oversee backup, restore, and disaster recovery strategies, including regular drills. Plan and execute safe rollouts across development, staging, and production environments, using canary deployments and rollback plans. Work daily with software engineers to embed reliability into system design, implementation, and release cycles. Set and promote standards for operational readiness and runbooks, encouraging adoption across teams. Enhance CI/CD pipelines and improve the developer experience for greater speed and safety.

About Higgsfield AIHiggsfield AI is at the forefront of video artificial intelligence, transforming the landscape of synthetic media for social platforms. With an impressive trajectory, our company has achieved over $200 million in run-rate sales just nine months post-launch and secured a robust $130 million Series A funding round.Who We Are SeekingAt Higgsfield AI, we strive for excellence, and we are looking for top-tier talent. You are:A proficient SQL and data modeling specialist who prioritizes metric integrity.Passionate about constructing reliable, auditable systems beyond mere dashboards.Skilled at imposing structure within fast-paced and ambiguous settings.An outstanding communicator capable of articulating complex metric logic to various teams including engineering, product management, machine learning, growth, and finance.Driven by the desire to create a company-wide impact and ownership, rather than focusing solely on localized optimizations.This position reports to the VP of Finance and collaborates closely with all departments. The ideal candidate will be located in the San Francisco Bay Area and will be required to work in the office at least two days a week.Your ResponsibilitiesEstablish the Source of TruthTransform product and finance-defined metrics (like engagement, MRR, CAC, LTV, margins, etc.) into sustainable, version-controlled warehouse models (using dbt or similar), ensuring uniform application throughout the company.Resolve conflicting logic across dashboards and teams.Guarantee that executive and board-level reports are based on consistent and traceable warehouse logic.Create GuardrailsEnhance our existing BigQuery-based infrastructure by centralizing business logic in the warehouse and enforcing governance protocols.Deploy automated validation and reconciliation processes between product systems, billing systems, and financial reporting.Avert unnoticed metric drift and unexpected post-close discrepancies.Ensure that new products, models, and features are accurately reflected in reporting.Empower the OrganizationCollaborate with Product, Engineering, ML, Growth, and Finance teams to provide trustworthy, decision-ready data.Enhance documentation, testing, and transparency within the warehouse.Minimize key-person risk while improving overall knowledge sharing.

Okta is searching for a Manager of Field Analytics to join the Go-To-Market Strategy & Operations group. This position is based in Bellevue, Chicago, San Francisco, or Washington, DC. The Field Analytics team plays a central role in shaping Okta’s business decisions by providing strategic analysis and supporting leaders with data-driven insights. Role overview This role partners closely with Solutions Engineering and Partner organizations. The Manager of Field Analytics translates complex data sets into clear, actionable strategies, identifies key revenue drivers, and builds scalable frameworks to support Okta’s growth. The position is responsible for connecting Okta’s data infrastructure with technical go-to-market teams, ensuring reporting systems are both flexible and scalable. There is a strong focus on generating proactive insights that improve technical sales productivity and accelerate partner-driven initiatives, while also advocating for the adoption of new AI capabilities. What you will do Strategic Collaboration: Act as the primary analytics partner for Pre-Sales and Partner operations teams. Build strong working relationships to understand their workflows and business needs, and translate those into effective analytical solutions. AI Innovation: Lead efforts to integrate emerging AI capabilities into analytics processes and reporting. Develop and maintain scalable reporting systems that deliver actionable insights to technical sales and partner teams. Support the identification of revenue opportunities and provide guidance that influences Okta’s strategic direction. Requirements Experience in analytics, business intelligence, or a related field, ideally supporting sales or go-to-market teams. Ability to build strong partnerships with technical and business stakeholders. Proven track record of creating scalable reporting systems and frameworks. Interest in or experience with integrating AI capabilities into analytics workflows. This position offers the chance to work on impactful projects that shape Okta’s future, supporting both technical and partner-driven growth.