At Scale, we're looking for a Product Marketing Lead to join our team. As a Product Marketing Lead, you will own positioning and messaging for Scale's GenAI data products, articulating our differentiation on data quality, delivery speed, and multimodal breadth in a way that resonates with AI researchers and technical buyers.
\nYou will lead the content and social strategy for Scale Labs' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community. You will build and maintain competitive intelligence and a sharp point of view on the data market, arming the team with differentiated positioning as the market evolves.
\nYou will partner with Scale Labs researchers to amplify published work - leaderboards, benchmarks, and research papers - and translate it into pipeline and demand generation for the GenAI business. You will develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum.
\nYou will collaborate cross-functionally with sales, engineering, and research to ensure consistent, compelling messaging across every customer touchpoint.
\nIdeally, you'd have 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences. You should have strong technical fluency and passion for AI, with the ability to hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance.
\nYou should also have experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners. You should have excellent written communication and storytelling skills, with the ability to make complex technical concepts compelling without oversimplifying them.
\nNice to haves include familiarity with the AI training data market, or adjacent data and infrastructure spaces, as well as an existing network or relationships within the AI research community.
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\nIn this role, you will set technical direction and lead execution for ML evaluation and the end-to-end data flywheel powering CSxAI products. 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.
\nYou will partner closely with product, engineering, design, and operations to build evaluation systems that are trusted, scalable, and actionable - connecting offline metrics to online outcomes.
\nA typical day in this role will involve working with large-scale structured and unstructured data, exploring, experimenting, building, and continuously improving Machine Learning models and pipelines for Airbnb product, business, and operational use cases.
\nYou will work collaboratively with cross-functional partners, including product managers, operations, and data scientists, to identify opportunities for business impact, understand, refine, and prioritize requirements for machine learning, and drive engineering decisions.
\nHands-on development, productionization, and operation of Machine Learning models and pipelines at scale, including both batch and real-time use cases, will also be a key part of this role.
\nYou will leverage third-party and in-house Machine Learning tools and infrastructure to develop reusable, highly differentiating, and high-performing Machine Learning systems, enable fast model development, low-latency serving, and ease of model quality upkeep.
\nYour expertise will be critical in defining evaluation strategy and success metrics for GenAI systems, aligning offline evaluation with online business and customer experience outcomes.
\nYou will build and scale evaluation frameworks with strong controls for bias, drift, and reliability, design the data flywheel, and lead cross-functional quality initiatives across product, ops, and engineering.
\nYou will develop and productionize pipelines for dataset creation, model monitoring, evaluation-at-scale, and continuous testing, and drive technical decisions and architecture for evaluation and data infrastructure.
\nMinimum qualifications for this role include a PhD in Computer Science, Mathematics, Statistics, or a related technical field, industry experience of 10+ years building, testing, and shipping ML/AI systems end-to-end, and leadership experience of 5+ years leading large, ambiguous technical initiatives as a senior IC.
\nPreferred qualifications include customer support systems experience, infrastructure and quality at scale experience, agile practice for applied AI experience, and continuous learner experience.
\nThis position is US-Remote Eligible, and the role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.
\nOur job titles may span more than one career level, and the actual base pay is dependent upon many factors, such as training, transferable skills, work experience, business needs, and market demands.
\nThe base pay range is $244,000-$305,000 USD, and this role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
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\nIn this role, you will help drive the successful adoption of complex solutions by shaping technical approaches, engaging with customers, and guiding programs from concept through deployment.
\nKey responsibilities include:
\nOwning the technical pre-sales cycle, running deep-dive discovery sessions, crafting solution architectures, and delivering demos and proof-of-concepts that showcase Hivemind's autonomy, AI/ML, and robotics capabilities.
\nServing as the customer's trusted technologist, translating mission needs into achievable engineering tasks, answering tough questions, and rapidly clearing technical blockers during capture.
\nDesigning integrations, working side-by-side with customer engineering teams to embed Hivemind on UAS, UGV, maritime, and fixed-site platforms, ensuring performance, security, and compliance.
\nCreating crisp technical collateral, presentations, specs, FAQs, roadmaps, and demo scripts that accelerate decision-making and shorten sales cycles.
\nCollaborating with Product & Engineering, relaying field feedback, influencing the roadmap, validating new features, and vetting out-of-plan opportunities for technical feasibility.
\nSupporting proposals and RFIs, providing architectures, data sheets, and quantified performance claims that strengthen our bids.
\nChampioning Hivemind expertise globally, training regional BD teams and embedding with customers on-site for technical interchange meetings, flight tests, and system bring-ups.
\nTracking the landscape, staying current on autonomy and AI innovations, competitor offerings, and emerging standards to keep Shield AI in front.
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\nThe Forward Enterprise platform delivers a vendor-agnostic 'digital twin' of the network, based on a mathematical model. It scales to support hundreds of thousands of network devices, whether cloud, hybrid cloud, or on-prem. It serves as a single source of truth for the network, enabling network operators to instantly verify security posture, accelerate troubleshooting, avoid outages, and modernize network management.
\nAs a Senior UI Engineer, you will be responsible for:
\nRequirements:
\nNice to Haves:
\nThis position is a regular, full-time opportunity with Forward Networks in Bangalore, India.
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\nThis role will be responsible for building out the Product Marketing practice at Constructor - owning Constructor’s product positioning, messaging architecture, launch strategy, and competitive intelligence.
\nReporting to the Chief Marketing Officer, you’ll partner closely with sales, product, customer success, growth marketing, and executive leadership to help ecommerce retailers understand the advantages to using Constructor.
\nConstructor is an incredibly powerful and broad platform with a high velocity of feature and product releases designed for different types of users across ecommerce.
\nWe're looking for someone who can bring clarity and precision to that complexity: someone who can define and articulate what makes each product or capability truly differentiated, and help ensure customers and prospects alike understand the full value of each element.
\nThis position is equal parts strategist and builder - setting direction, developing people, and rolling up your sleeves to build the many artifacts that form a robust product marketing org.
\nYou will work closely with our product leaders to launch new products, add-ons and features, with our content marketing team to create thought leadership, with growth marketing to drive pipeline and product content and with sales to ensure the GTM functions are enabled on key launches and competitors.
\nAny feature or product launch, with the product team, will include a bill of materials focused on value proposition, personas, objection handling, competition and more.
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\nProduct Positioning and messaging
\nGo-to-market leadership
\nCustomer & market insight
\nTeam leadership
\nRequirements
\nSkills
\nMindset
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\nAt Constructor we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
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