About Teneo Teneo is the global CEO advisory firm. We partner with our clients globally to do great things for a better future. Drawing upon our global team and expansive network of senior advisors, we provide advisory services across our five business segments on a stand-alone or fully integrated basis to help our clients solve complex business challenges. Our clients include a significant number of the Fortune 100 and FTSE 100, as well as other corporations, financial institutions and organizations. Our full range of advisory services includes strategic communications, investor relations, financial transactions and restructuring, management consulting, physical and cyber risk, organizational design, board and executive search, geopolitics and government affairs, corporate governance and ESG. The firm has more than 1,800 employees located in 50+ offices around the world. Description : A Senior Vice President within Teneo is responsible for maintaining and building business relationships with clients and executing work programs. Senior Vice Presidents are highly motivated and dedicated individuals with significant experience across all aspects of capital market s communications and investor relations. The role requires a high level of Financial acumen and capital markets judgment , including an ability to interpret financial results, guidance and anticipate market reaction , with a preference for prior sell side equity analyst roles , buy side a nd / or in house IR experience . A Senior Vice President is recognized as expert in their respective field and brings a wealth of experience, a track record for successful execution and a network of professional relationships . Responsibilities : Serves as a trusted business advisor by influencing client direction in all areas of investor relations Develops Teneo’s client IR strategies that create competitive advantage in the face of changing business, sect
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About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our Product Counsel team, you will advise on a broad range of issues arising from hardware products and technologies, with a focus on software that power them. You’ll work closely with software engineering, product, design, and business teams from development through launch and ongoing support. This is a unique opportunity to engage directly with the forefront of AI legal issues. This role reports to our DGC of Hardware. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Work closely with product and engineering teams, participate in architecture and product reviews, and advise throughout development, launch, and ongoing support. Support software and firmware licensing, open-source, compatibility and ongoing device support. Provide broad product counseling on consumer experiences, user terms, disclosures, marketing claims, consumer protection and regulatory requirements. Advise and coordinate on product, commercial, IP, privacy, security, competition, and regulatory legal issues so product decisions and external commitments are consistent. Build practical guidance and review processes, adapt support to changing priorities, and take ownership of emerging issues across teams. You might thrive in this role if you: Have 8+ years of relevant legal experience, including substantial product counseling for consumer devices, software embedded in hardware, gained in-house, at a technology-focused law firm, or both. Can work with
About the Team OpenAI's Legal team plays a crucial role in furthering OpenAI's mission by tackling innovative, fundamental legal issues in AI. If you're passionate about doing significant and unique work as a technology lawyer, this team is for you. The team comprises professionals from diverse fields, including technology, AI, privacy, IP, corporate, employment, tax law, regulatory, and litigation. About the Role As a member of our Product Counsel team, you will advise on a broad range of issues arising from hardware products and technologies, with a focus on software that power them. You’ll work closely with software engineering, product, design, and business teams from development through launch and ongoing support. This is a unique opportunity to engage directly with the forefront of AI legal issues. This role reports to our DGC of Hardware. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Work closely with product and engineering teams, participate in architecture and product reviews, and advise throughout development, launch, and ongoing support. Support software and firmware licensing, open-source, compatibility and ongoing device support. Provide broad product counseling on consumer experiences, user terms, disclosures, marketing claims, consumer protection and regulatory requirements. Advise and coordinate on product, commercial, IP, privacy, security, competition, and regulatory legal issues so product decisions and external commitments are consistent. Build practical guidance and review processes, adapt support to changing priorities, and take ownership of emerging issues across teams. You might thrive in this role if you: Have 8+ years of relevant legal experience, including substantial product counseling for consumer devices, software embedded in hardware, gained in-house, at a technology-focused law firm, or both. Can work with
About the Team The DoorDash Air team is bringing drone delivery to reality. To make this happen, we’re building a strong electrical team to design high reliability, high power density converters, and fault-tolerant controls electronics. Come join us to build a new class of aircrafts and deploy at scale. DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. About the Role We're hiring a Manufacturing Engineer to help build the process and tooling behind how our autonomous food delivery platform gets made. You'll work hands-on to bring up our first high-volume drone assembly line—applying DFA and PFMEA to new designs, building out layout and workstations, and specifying the tooling and fixtures that turn a prototype into a repeatable build. You'll spend your time on the shop floor and with suppliers and contract manufacturers, solving the real problems that come up when a line moves from prototype to production: fit and tolerance issues, process failures, tooling gaps, throughput bottlenecks. This is for someone who wants to be in the weeds of execution, who thrives in a fast-moving startup environment, and gets energy from solving hard, hands-on manufacturing problems. You'll get in at the ground floor with the chance to shape how the next generation of food delivery vehicles gets built. You’re excited about this opportunity because you will… Be our first manufacturing engineer for DoorDash Air's first mass-productio
Senior Marketing Data Analyst Location: Charlotte, NC | In-office Employment Type: Full-time CPI Security, a leader in security, smart home, and business automation, is hiring a Senior Marketing Data Analyst to join our Marketing team in Charlotte, NC. In this role, you’ll own the marketing data and analytics ecosystem—from click tracking to lead conversion reporting. You’ll use SQL, GA4, Tableau, Salesforce, Invoca, GTM, and related platforms to build trusted reporting, improve attribution, identify performance trends, and help channel owners make smarter decisions about spend, testing, and strategy. What You’ll Do Build and maintain SQL-backed datasets for campaign, channel, lead, attribution, and conversion reporting Analyze marketing performance across paid search, paid social, display, email, web, offline, and other channels Partner with channel owners to answer key business questions: what happened, why it happened, and what to do next Standardize marketing KPIs including leads, conversion rates, CPL, CPA, ROI, attribution windows, and funnel metrics Develop Tableau dashboards and recurring reports based on trusted data models Monitor data quality, tracking gaps, duplicates, reconciliation issues, and reporting inconsistencies Support attribution, media mix, lead quality, funnel conversion, and budget allocation analysis Design, execute, and analyze A/B tests, multivariate tests, and marketing experiments QA and troubleshoot tracking across GA4, GTM, Salesforce, Invoca, paid media platforms, email, web, and offline channels Present clear, actionable insights to Marketing, Sales, agencies, and leadership What We’re Looking For 3+ years of experience as a marketing analyst, marketing data analyst, data analyst, or similar role Strong SQL skills, including pulling, joining, cleaning, and aggregating marketing and CRM data Experience supporting digital or performance marketing teams with actionable reporting and analysis Hands-on experience with Google Analy
About Us: YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B. We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our on-demand insights team uses proprietary technology to identify, license, clean, and analyze the data many of the world’s largest investment funds and corporations depend on. We are one of Inc’s Best Workplaces - a fast-growing technology company with offices located in NYC, Austin, Miami, Denver, Mountain View, Seattle , Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore, backed by Norwest Venture Partners and The Carlyle Group with a strong culture focused on mastery, ownership, and transparency. About The Role (and Challenges You’ll Be Helping To Solve!): We are looking to add an experienced Senior Account Executive to our Corporate team who will act as a main growth driver across a portfolio of existing clients within our corporate sector. The goal is to position YipitData's must-have products and ensure renewals with a disproportionate focus on account growth. The Senior Account Executive will own the commercial relationship for existing business, be responsible for identifying and closing upsell opportunities, having a relationship with every budget owner and decision maker, and owning the renewal. You will be responsible for creating advocates for our products and assisting them find answers to their key questions by collaborating closely with our research, data product, and client strategy teams to provide a "must have" service to our clients. This remote-friendly opportunity can sit in NYC (where our headquarters is located), one of our office hubs (Austin, Miami, Denver, Mountain View, or Seattle), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York
At Curai, we believe that access to high-quality healthcare is a fundamental human right, not a privilege. Our mission is to radically transform healthcare by harnessing the power of artificial intelligence and clinical expertise to make care more affordable, accessible, and effective for everyone. We are looking for a Senior Software Engineer, Marketing Platform, to build the systems that help people discover Curai Health and find care. You’ll own the web, measurement, and data integration systems to support marketing and growth. What You'll do as a Senior Software Engineer, Marketing Platform In a typical day in the life of a Curai Senior Software Engineer, you’ll: Turning priorities from marketing into scoped engineering projects Define funnel events, implement client and server side tracking, and reconcile conversion data with warehouse reporting. Build SQL models and dashboards to examine cost per visit and cohort behavior Support the build pipeline and ClickHouse data behind our MTA tooling Designing, building, and maintaining web features and the APIs and data flows supporting them Investigating site performance, conversion, and data quality issues, then shipping improvements Reviewing code, improving tests and monitoring, and making technical decisions with the broader engineering team What You'll Need We recognize not everyone will have all of these requirements. If you
Senior Platform Engineer AI Engineering | Forward Deployed Engineering Role Description Defense Unicorns is seeking a senior AI Agentic Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on designing, integrating, and operationalizing AI agents and agentic workflows within a secure enterprise environment. The engineer will work across large language models, agent frameworks, enterprise data, APIs, developer tooling, and platform services to turn AI capabilities into reliable, mission-relevant workflows. The ideal candidate is a hands-on engineer who understands both the capabilities and limitations of modern AI systems and can rapidly translate emerging technologies into working solutions. They should be comfortable experimenting with new models and agent frameworks, integrating agents with enterprise systems and tools, evaluating performance and reliability, and working alongside platform engineers and commercial technology partners. This is not a research-only role. The focus is on moving from AI concepts and prototypes to secure, useful, repeatable agentic capabilities that can operate in production environments. Responsibilities Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies. Develop agent capabilities that interact with enterprise applications, APIs, data sources, developer tools, and mission systems. Integrate models, agents, tools, and enterprise data into secure workflows that can be deployed in controlled and classified environments. Work with LLMs, RAG, embeddings, vector databases, tool/function calling, structured outputs, MCP, and related technologies. Develop mechanisms for agents to securely discover, access, reason over, and act upon approved enterprise data and services. Prototype and rapidly evaluate emerging models, agent frameworks, and AI capabilities to determine where they can create measurab
This Sr Data Analyst will join our analytics org within the Executive Insights team, which is responsible for synthesizing revenue and operational data from across the company to measure the trajectory and overall health of the business. You will work closely with partner teams in Analytics, FP&A, Accounting, Cloud Billing, and Sales Operations to not only drive alignment on business performance narratives, but also to drive company wide transparency and data democratization for company key metrics. Data pipelines, visualizations, root cause analyses, and deep dives generated by this team routinely empower MongoDB’s executive team to make data-informed decisions. This is a high visibility role that offers exposure to senior leadership via the team’s support of the office of the CFO. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Responsibilities Deep dive on performance metrics from across the company to surface drivers of business growth to enable data-driven decision making at the executive level Produce insights to answer requests ahead of critical reporting periods, including earnings and investor days Partner with the rest of the team to own the end-to-end delivery of recurring consumption and revenue reports (weekly, monthly, and quarterly) ensuring they're accurate, timely, and trusted by stakeholders Proactively identify and fix data quality issues, broken pipelines, or reporting discrepancies Document metric definitions, report logic, and data lineage Skills & Attributes The ideal candidate excels equally in data wrangling, pipelining, and storytelling, and shares a passion for automation and continuous process improvement 4+ years in an analyst, data, or BI role with meaningful ownership of key business metrics reporting Strong SQL skills; comfortable writing and optimizing queries against large-scale warehouses (Trino, BigQuery, or similar) Working proficiency in Python for data transformation,
Role Description Defense Unicorns is seeking a senior Data Engineer to embed with a government team and its technology partners building an emerging AI-powered engineering ecosystem. This role will focus on making enterprise data usable, discoverable, governed, and accessible to AI models, agents, and mission applications. The engineer will work across data ingestion, transformation, storage, metadata, APIs, search, vector and graph technologies, and the interfaces between the data layer and AI workloads. The ideal candidate is a hands-on data engineer who can operate across the full data lifecycle and understands that data availability and integration are often the primary blockers to delivering AI capabilities. They should be comfortable entering an evolving architecture, learning unfamiliar systems quickly, working directly with commercial technology partners, and solving difficult problems involving data quality, lineage, access, performance, and security. This is not a traditional analytics or business intelligence role. The focus is on building the data foundations and repeatable patterns that allow AI and agentic capabilities to access trusted data and move from prototype to production in secure and classified environments. Responsibilities Design, build, and maintain reliable data pipelines that ingest, transform, validate, and deliver data for AI models, agents, and mission applications. Integrate structured and unstructured data sources into enterprise data services, including relational, document, vector, and graph-oriented technologies. Work closely with AI/agent engineers to make data discoverable and usable for RAG, semantic search, model context, and tool-enabled agent workflows. Develop repeatable data ingestion and transformation patterns using Python, SQL, APIs, event-driven architectures, and workflow/orchestration technologies. Establish data quality, validation, provenance, lineage, and metadata practices so downstream users and AI systems can t
Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission: Zocdoc is hiring a Senior Software Engineer to build the data platform that connects our products with analytics, machine learning, and operational systems. This role sits on the Data Engineering team at the boundary of backend engineering and data infrastructure. You will build APIs, libraries, schemas, services, and supported workflows that help engineers publish and use data safely. Your work will cover the path from source-defined contracts and validation through reliable event and batch delivery to data activation in products and business systems. You will help make quality, ownership, observability, and privacy part of the platform, while giving teams a clearer path to ship without depending on Data Engineering for every integration. You’ll enjoy this role if you are… Excited to build platform products for other engineers, turning ambiguous problems into practical APIs, SDKs, shared libraries, command-line tools, and services that you also help operate. Interested in the full lifecycle of data, including how it is defined
SmartBear delivers application integrity for modern tech stacks, ensuring continuous, measurable assurance that software just works as intended with governance to operate at AI speed and scale. SmartBear offers deep test automation, API lifecycle management, and observability capabilities. With integrations across the SDLC, it sets a new quality standard for application delivery teams. SmartBear is trusted by developers, testers, and software engineers across 32,000 organizations, including 75% of the largest financial institutions and industry leaders such as Adobe, JetBlue, and Microsoft. SmartBear’s open source tools are downloaded more than 100 million times a month and have earned over 30,000 GitHub stars from the developer community. With its best-loved brands, including Swagger, TestComplete, Reflect, QMetry, Zephyr, and more, SmartBear meets customers where they are to make our technology-driven world a better place. Learn more at www.smartbear.com , or follow us on LinkedIn , X , and Reddit . At SmartBear, you will be part of a dynamic team solving one of the most critical challenges facing modern businesses: ensuring the integrity of software in an AI-driven world. Whether you are working directly with customers, driving go to market strategies, supporting operations, building products, or enabling teams, your contributions help shape the future of software quality for organizations worldwide. Join us in our mission. Senior Financial Analyst, Zephyr (Atlassian Marketplace) Provide financial analysis and forecasting for Zephyr products within the Atlassian Marketplace. Develop data-driven insights to support strategic investment decisions, pricing changes, and retention improvements that accelerate growth. Partner with go-to-market, Product, and Engineering teams to optimize financial performance. Product Intro Zephyr is SmartBear’s market-leading test management solution natively integrated into the Atlassian ecosystem. Used by thousands of Agile tea
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and
Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The AI Transformation team AI Transformation is a small, focused squad that is driving Multiverse’s next wave of growth. Our mandate is to rebuild how the company actually works, function by function, and to establish the practices that make Multiverse an AI-first company from the core out. But our work doesn’t stop there. We are building a product that we will take to market to truly be a transformation partner to our customers. Joining this team means shaping the future of Multiverse, of our customers, and of the wider workforce as we navigate the new world of work. The team is high velocity, inherently cross-functional and broad in scope. We work alongside colleagues whose work we are reimagining, and closely with the wider engineering org building Multiverse's current customer-facing product. The structure is flat and fast, with egos left at the door, bias to action and fun at our core. What your day-to-day will look like Every day will be different, but you can expect
The People Analytics Team at Datadog uses data to help our growing organization make better people decisions. We're expanding our workforce planning capabilities to support how we grow and structure our teams. In this role, you'll help build and maintain the data foundation behind our headcount and capacity models, partnering with FP&A, Recruiting, and PBPs to keep workforce planning grounded in clean, trustworthy data. 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: Automate and expand Datadog’s headcount-driven capacity modeling, improving the underlying data pipelines and insights that they surface Build and maintain data models covering headcount, positions, and hiring pacing, keeping them accurate as business context changes Own the position data audit process, establishing and maintaining a source of truth for open, filled, and planned positions across the business Support workforce forecasts by analyzing attrition, mobility, hiring, and promotion trends in partnership with the broader People Analytics Insights team Partner with our People Tech teams (HRIS, Recruiting Ops, developers) to shape the headcount management tech roadmap, driving for infrastructure and tooling that reduces friction and unlocks better data Serve as a point of contact for stakeholder questions on workforce planning data, handling day-to-day communications and support requests Contribute to the overall maturity of workforce planning at Datadog by improving how data is sourced, modeled, and shared Run external benchmarking analyses to inform headcount planning by researching labor market data, translating it into internal-ready insights, and publishing findings for stakeholders Who You Are: 5+ years of experience in workforce planning, people analytics, FP&A, or
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