Senior Technical Product Marketing Manager

Principal Competitive Intelligence - Search - Product Marketing

Elastic

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 : Elastic is seeking a Principal Competitive Intelligence Manager to join its Product Marketing organization, focusing on Search. This role is pivotal in analyzing the competitive landscape and providing actionable insights to enhance go-to-market strategies. The successful candidate will collaborate with various teams to position Elastic's offerings effectively against competitors, ensuring the organization remains competitive in a dynamic market. The ideal candidate brings a strong mix of technical, business and communication ability, particularly in the Search market. You have a deep understanding of Search solutions including the users and buyers of those products. You thrive in ambiguity, think critically, and can dive deep to deliver valuable insights. You excel at communicating across levels, from technical experts to senior executives, and are skilled at turning data into impactful messaging for different audiences. WHAT YOU WILL BE DOING : * Build and implement an effective competitive intelligence program for Search, including in-depth analysis of competitors' products, services, pricing, packaging, marketing strategies and financial performance. * Create clear, compelling, fact-based internal and external enablement materials - battlecards, bulletins, training, comparisons for blogs/websites - that tells the story behind Elastic product and technology differentiation, creating sales and solution engineering confidence. * Track, analyze, and communicate competitive developments, providing timely responses to market changes and competitor actions. * Develop and deliver compelling proof points and external blogs and web pages to communicate competitive differentiation. * Collaborate on the Win/Loss program, participating in W/L interviews and analyzing data to advise sales strategies and product decisions. * Maintain a deep understanding of the search market, including market trends, competitive dynamics and SWOT evaluations. * Effectively collaborate with product marketing, product management, and sales to craft competitive positioning strategies for new products and features. * Participate in industry events to monitor trends and advise on competitive shifts. WHAT YOU BRING : * Understanding of the Search market, key players, technologies and trends. * Proven success in roles such as sales engineering, technical marketing, or competitive analysis, within the search industry. * Strong technical and analytical skills to assess competitive solutions, features and strategies and propose effective responses. * Experience translating technical features into compelling business value for diverse audiences. * Ability to build relationships and work optimally with teams across the company, including sales, marketing, engineering, and leadership. * Excellent communication skills—verbal, written, and visual—to share competitive insights and strategies effectively. * Background in engineering, computer science, or equivalent experience is helpful but not required.   Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.  These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.   An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $135,700—$214,700 USD The typical starting salary range for this role in the select locations listed above is: $163,100—$258,100 USD ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.

Architect, Software Engineering (Adobe Experience, Engineering & Platforms)

DEPT

WHY DEPT®? We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA. We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter. At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build. THE ROLE We are seeking a visionary and market-experienced Senior Architect, Experience Engineering & Platforms to join DEPT®'s growing Adobe practice in North America. In this executive-level role, you will serve as the most senior client-facing voice on large-scale digital platform transformations — defining the architectural direction for headless CMS implementations, composable experience ecosystems, and Adobe-native delivery infrastructure. You will own the intellectual agenda of the Experience Engineering & Platforms pillar: shaping methodology, building go-to-market positioning, and establishing DEPT® as the authoritative partner for enterprise organizations navigating the shift from monolithic CMS architectures to modern, performance-first stacks built on Adobe Experience Manager (AEM) Sites, Edge Delivery Services (EDS), Adobe Commerce, and Adobe CDN. At Level 4, you are not executing within a defined scope — you are defining the scope for engagements worth millions of dollars and shaping the conditions under which client teams will succeed over a three-to-five year horizon. Your clients are Global 2000 enterprises — retailers, financial services companies, media organizations, and B2B technology firms — who are hitting the ceiling of what their legacy platforms can deliver. They come to DEPT® because their existing AEM monolith cannot support the experimentation velocity their marketing team demands, because page performance is dragging down conversion rates in measurable ways, or because they need to scale content operations across dozens of markets without proportionally scaling headcount. In this role, you will produce the artifacts that define how they get from where they are to where they need to be: platform architecture assessments that expose technical debt and surface migration paths, multi-year transformation roadmaps that sequence investment against business outcomes, composable architecture blueprints that map AEM Sites and EDS to real editorial workflows, and Commerce integration strategies that connect Adobe Commerce to a headless front end without sacrificing personalization or analytics fidelity through Adobe Target and Adobe Analytics. You will present these deliverables to CMOs, CTOs, and CDOs — and you will be expected to defend every recommendation with the rigor of someone who has built and broken these systems firsthand. WHAT YOU'LL DO * Architect Platform Transformation Programs: Lead executive advisory engagements for enterprise clients migrating off monolithic CMS platforms, producing platform architecture assessments and composable architecture blueprints that define the target state across AEM Sites, Edge Delivery Services, Adobe CDN, and integrated commerce and analytics layers. Translate technical architecture decisions into business cases that resonate with C-suite sponsors. * Define Multi-Year Roadmaps: Develop phased transformation roadmaps that sequence AEM modernization, EDS adoption, and Commerce integration initiatives against measurable business outcomes — balancing technical feasibility, organizational change capacity, and investment horizons of three to five years. Ensure each phase delivers standalone value while building toward the full composable vision. * Shape Pillar Methodology and Thought Leadership: Author the frameworks, assessment tools, and repeatable playbooks that define how DEPT®'s Experience Engineering & Platforms practice goes to market — including headless CMS strategy templates, EDS implementation plans, performance optimization playbooks, and composable architecture decision guides. Publish and speak on these topics to establish DEPT® and yourself as category authorities. * Lead Pre-Sales and Strategic Account Development: Partner with DEPT® sales leadership to qualify, shape, and close strategic Adobe platform engagements, contributing architecture vision, scope definition, and executive presence to pursuit teams. Develop points of view for specific industries and use cases that open new client relationships and expand existing ones. * Develop the Pillar Team: Mentor and grow a team of strategists, architects, and practice specialists within the Experience Engineering & Platforms pillar — conducting structured coaching, defining career development paths, leading internal knowledge-sharing, and establishing the quality bar for client deliverables across the portfolio. WHAT YOU BRING * 12+ Years of Enterprise Platform Experience: Deep background leading digital platform strategy and architecture engagements for large enterprise organizations, with direct responsibility for scoping, shaping, and delivering multi-year transformation programs — not just contributing to them. Experience working in or alongside a global digital agency, systems integrator, or enterprise technology consultancy is strongly preferred. * Composable Architecture and Headless CMS Expertise: Demonstrated ability to architect and evaluate headless and composable experience platforms at enterprise scale — including content modeling for decoupled CMS deployments, API-first integration patterns, CDN strategy, and the organizational design implications of separating content authoring from front-end delivery. You have made these decisions in production environments with real stakes. * Adobe Product Fluency: Expert-level command of the Adobe Experience Cloud products that define this pillar. You can architect, evaluate, and advise on AEM Sites (both cloud-native AEM as a Cloud Service and on-premise modernization scenarios), Edge Delivery Services (EDS) including document-based authoring and performance optimization, Adobe Commerce (Magento) headless integration patterns, Adobe CDN configuration and performance strategy, Adobe Analytics implementation and data layer architecture, and Adobe Target for personalization and experimentation. At this level, fluency means you have defended these choices in front of CTOs and can articulate the tradeoffs — not just the feature lists. * Executive Stakeholder Management and Advisory Presence: Proven track record of building trusted advisor relationships with CMOs, CTOs, CDOs, and Executive VPs — facilitating difficult conversations about platform investment, organizational change, and technology risk without losing either rigor or relationship. You can command a room of skeptical enterprise executives and walk out with alignment. * Practice Building and Commercial Acumen: Experience developing intellectual capital, go-to-market assets, and repeatable delivery methodologies within a consulting or agency practice. You understand how a pillar generates revenue, how to position against competing approaches, and how to develop and retain the talent that executes on the strategy you define. WHAT DO WE OFFER We are a collaborative, open-door, best-idea-wins environment that fosters personal and company growth and has fun doing it. Here is a snapshot of our benefits package: * Healthcare, Dental, and Vision coverage * 401k plan, plus matching * PTO * Paid Company Holidays * Parental Leave WE SUPPORT YOU BEING YOU:  DEPT® is an equal opportunity employer (EOE). We believe our work is its best when our people feel safe and free to be themselves. We’re committed to an inclusive and barrier-free recruitment and selection process and workplace, regardless of anyone’s identity, background, beliefs, lifestyle or disabilities. So tell us about any accommodations you need. It’s totally confidential and only used to make sure you feel fully supported at every step.  DEPT® participates in E-Verify, meaning your Form I-9 information will be sent to the federal government to confirm you are authorized to work in the U.S.  We are a B Corp-certified company passionate about purpose-driven work.  Our hope is that you can feel good about the contributions DEPT® is making to the world and we always have an open door for your ideas in making the world a better place.  DEPT® is a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, our 4,000+ specialists deliver growth invention across Brand & Media, Experience, Commerce, CRM, and Technology & Data. We’re 50|50 tech and marketing, partner-led, and first to move. Clients include Google, Lufthansa, Coach, eBay, and OpenAI. Learn more about DEPT®   DIVERSITY, EQUITY, & INCLUSION At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives. Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.  We also encourage you  to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us. Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here. #LI-Remote The anticipated salary range for this position is listed below. Salary is based on a range of factors that include relevant experience, expertise, physical location, and organizational impact. This is based on a 40-hour workweek and leveling. Keep in mind, we’re flexible. US Remote Range $154,700—$190,000 USD

Senior Staff Machine Learning Engineer, Data & Eval

Airbnb

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join:  AI and ML are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing, we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Core ML team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting Generative AI technologies to enable an intelligent, scalable, and exceptional service experience. The team develops and enhances AI models, ML services, and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning, and guardrails for a wide range of applications at Airbnb. The richness of Airbnb's data, the complexity of its marketplace, and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to long-term innovation to solve complex problems, and to do that we need experienced ML The Difference You Will Make: In this Senior Staff role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel powering CSxAI products (e.g., assistive agents, issue resolution, and tooling). Your work will define how we measure quality, how we turn feedback into learning signals, and how we continuously improve models and products safely and efficiently. You will partner closely with product, engineering, design, operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online outcomes. A Typical Day:  * Define evaluation strategy and success metrics for GenAI systems, aligning offline evaluation with online business and customer experience outcomes. * Build and scale evaluation frameworks (golden sets, synthetic data, automated regressions, rubric-based grading, LLM-as-judge where appropriate) with strong controls for bias, drift, and reliability. * Design the data flywheel: instrumentation, feedback collection, data quality checks, labeling strategy, dataset versioning, and governance to support continuous improvement. * Lead cross-functional quality initiatives across product, ops, and engineering, driving clarity on what “good” looks like and how teams act on evaluation results. * Develop and productionize pipelines for dataset creation, model monitoring, evaluation-at-scale, and continuous testing (pre-deploy and post-deploy). * Drive technical decisions and architecture for evaluation and data infrastructure, balancing speed, rigor, cost, and safety. Minimum Qualifications: * Educational Background: PhD in Computer Science, Mathematics, Statistics, or related technical field (or equivalent practical experience). * Industry Experience: 10+ years building, testing, and shipping ML/AI systems end-to-end; including 2+ years of experience with GenAI/LLM systems in production. * Leadership Experience: 5+ years leading large, ambiguous technical initiatives as a senior IC, influencing roadmap and engineering/science direction across teams. * Technical Proficiency: * Deep expertise in evaluation methodology (offline/online alignment, metric design, human-in-the-loop evaluation, A/B testing, power analysis, regression testing). * Hands-on experience with GenAI systems, including orchestration, retrieval, tool calling, memory, etc. * Experience building data pipelines and quality systems (labeling workflows, dataset curation, versioning, monitoring, and governance). * Solid ML fundamentals and best practices (model selection, training/serving, monitoring, reliability, and model lifecycle management). Preferred Qualifications: * Customer Support Systems: Experience applying ML/AI to customer support workflows (e.g., agent assist, classification/routing, resolution recommendation, QA). * Infrastructure & Quality at Scale: Experience building robust evaluation platforms for agent behavior validation, safety/guardrails, and continuous improvement. * Agile Practice for Applied AI: Proven ability to take evaluation and data flywheel work from incubation to production, iterating quickly while maintaining scientific rigor. Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. How We'll Take Care of You: Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.   Pay Range $244,000—$305,000 USD