AI Marketing & Sales Jobs

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Yutori is reimagining how people interact with the web by building AI agents that can reliably do everyday digital tasks. We are building the entire stack to be agent-first, from training our own models to generative product interfaces.Towards this goal, we are looking for a member of the AI technical staff to join the founding team. Someone technically strongly, and excited about building superhuman AI agents that take actions on the web.Our founders — Devi Parikh, Abhishek Das, Dhruv Batra — have decades of experience in AI research and product spanning generative, multimodal and embodied AI at Meta. Our team combines AI experience with design-minded product thinking to build and deliver on Yutori’s mission.Yutori is backed by a stellar set of visionary investors — Elad Gil, Sarah Guo, Jeff Dean, Fei-Fei Li, Amjad Masad, Guillermo Rauch, Akshay Kothari, Soleio, Oliver Cameron, Julien Chaumond, Logan Kilpatrick, Bryan McCann, Vladlen Koltun, Jamie Cuffe, Michele Catasta, etc.Responsibilities:Build a superhuman generalist web-agentScale infra, data, algorithms for large-scale distributed async reinforcement learning with multimodal LLMs acting in web environmentsWork closely with product engineers to translate cutting-edge AI capabilities into elegant and reliable product experiences.What we’re looking for:Experience with large-scale RL, ideally for post-training multimodal LLMsExperience building distributed systems for RL (balancing trainer, environment, actor workloads)Experience with ML infrastructure (GPU clusters) and supporting networking (NCCL)High IQ, high EQ, high agency, high craftsmanship, low ego. Proactive, clear communication.Benefits and perks:Competitive salary and equityVisa sponsorship and relocation stipend to bring you to SFGenerous health, dental, vision insurance for you and your dependents20 days of paid time off per yearWork laptop and budget to set up your work officeDaily team lunchesCommuter benefitsSmall, focused team of high-potential individuals. In-person in SF.

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Growth @ Listen Labstl;dr: We're hiring a Growth Marketer. You will work with our CEO/co-founder to scale Listen from $Xm ARR to $XXm ARR+. Ideally, you are a creative, data-driven, and energetic marketer, excited to join a fast-growing, early-stage startup in a career-defining role. Min. 2+ YoE in B2B SaaS growth marketing, ideally with experience marketing to teams in product, design, or marketing functions.Background Large language models are becoming powerful reasoning engines, but they're missing a crucial element to be truly useful for businesses: up-to-date information about your company. Listen has created a product to quickly build this context. You can ask our AI any important business question, and it will:Find the right people to talk toAsk them the right questionsDeliver a report with video highlights For example, you could ask:"How do finance directors handle AI budgets?""What do Ozempic users think about our new beverage product?" By collecting this information, we're giving large language models current context about your business. This turns them into something like a strategic thinking partner for your company.Some vitals about Listen (achieved with minimal marketing investment):Hypergrowth: We're growing like crazy, both in mid-market and also signing large enterprise contracts with firms like Google, Microsoft, Nestlé and P&G.Our win rate on commercial deals is 83%. We have never lost a deal to a competitor. (We occasionally lose deals because a customer does nothing)Our founders are serial entrepreneurs (previous AI startup exit): The team has backgrounds from Jane Street, Tesla Autopilot, IOI, ICPC, Harvard, Carnegie-Mellon, UC Berkeley. Our CTO reported directly to Elon Musk at Tesla.Our market is gigantic: We have proven the ability to sign big six figure deals (biggest one has >$200k annual value) with household names like Google and Microsoft, but we also win the hottest mid-market firms like Anthropic and Canva.The product is highly viral: Customers can share interviews to tens of thousands of users. That means free pipeline and a strong PLG motion. We receive inbound from Fortune 500s every day.Scope of roleAcquisition strategy: Design and execute multi-channel campaigns to drive qualified leads through content marketing, SEO, SEM, and social media.Content creation + optimization: Develop compelling narratives and content that demonstrates Listen's value proposition across various formats (blog posts, case studies, webinars, social).Growth experimentation: Implement rapid testing frameworks to identify scalable acquisition channels. Analyze campaign performance and optimize for maximum ROI.Product-led growth: Work with product teams to optimize our viral loops, in-product engagement, and user conversion paths.Marketing operations: Build and maintain our marketing tech stack, implement attribution models, and create dashboards to track key metrics.Cross-team collaboration: Partner with Sales, Customer Success, Product, and Engineering to align messaging and ensure a cohesive customer journey.This is a unique role with potential to expand into a Marketing leadership position quickly as we grow, reporting directly into the CEO.CompensationCompetitive compensation with base salary + performance bonuses, plus meaningful equity.Investors We're backed by Sequoia Capital, Conviction, AI Grant and Pear VC.There's been $30B+ of market cap created in markets tangential to us (Medalia, Alphasights, GLG, Alphasense, Ipsos, Kantar). Our partner at Sequoia, Bryan Schreier, was the first investor in Qualtrics – a $12B company in a similar space as us.

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We are seeking a Head of AI Protein Design to join our team working at the interface of generative AI and protein design. You will play a key role in shaping our scientific strategy, conceiving of and delivering on protein design campaigns as part of AI model validation and customer facing projects, whilst leading a team of computational protein designers.This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. Using your blend of computational expertise, in-depth biochemical and structural understanding of proteins as well as cutting edge experimental techniques, you will drive our real world validation and application efforts to design for and optimize proteins. You will closely collaborate with our Frontier AI Models unit and our Experimental Platform unit.Who you areYou are a computational protein designer. You have a proven track record of successfully leveraging novel computational tools and your knowledge of biochemistry or structural biology to run large protein design campaigns You are routinely using computational metrics at scale in order to score designed proteins and derive insights from experimental results.You have deep experience with generative AI. You have deep hands-on experience using state of the art machine learning tools such as AlphaFold, RFdiffusion, ProteinMPNN or similar models. Combined with your ability to build and train machine learning models from scratch, you are able to extend those models and tune them as required.You seek applied impact. You have a deep understanding of the practical requirements in drug discovery, such as the functional characteristics required of biologics. Combined with your knowledge of generative models you are able to devise protein design campaigns that aim for maximum applied impact.You are a successful scientist. You have a PhD (or equivalent industry experience) in artificial intelligence, computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, or a related field. Your research experience was in protein design using computational expertise.You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.You are a leader. You are a trusted leader who loves to inspire people and enable them to perform at their highest levels. You have managed interdisciplinary teams before, and have excellent communication and presentation skills, with the ability to convey complex scientific concepts to both technical and non-technical audiences.You are a mission driven innovator. You are passionate about making a positive impact on the world, whether it's for patients, partners or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies.You thrive in a dynamic and ambiguous environment. You excel in a fast-paced setting where goals must be achieved efficiently and urgently. You have a keen eye for creating, then optimizing processes to improve speed and repeatability. You are an advocate for lab automation, both through hardware and software.What sets you apart (preferred but not required)You have a background in industry, such as experience working on R&D programs in pharma, in the areas of Biologics (e.g. antibodies).You have deep experience with multiple design applications, such as antibodies and enzymes.You have helped scale a young biotech before. You have worked in startups and helped the company grow.Your ResponsibilitiesDefine and implement a roadmap of proof-of-concept strategies that will enable commercial business objectives:Based on industry experience and deep scientific insight, propose experimental validation projects for testing our AI models.Set objectives for protein design campaigns to support proof-of-concept projects and internal business objectives .Help to develop the protein design platform & partnerships:Together with the CEO and Head of Business Development, shape the portfolio of capabilities for the company’s protein design platform, helping to prioritize new areas and domains.Collaborate closely with our Head of Business Development to cultivate strong, enduring relationships with our initial partners, ensuring their ongoing satisfaction and success.Proactively seek opportunities to expand and deepen our relationships with new or existing partners, identifying areas for growth and collaboration.Lead and develop a high-performing computational protein design team:Create a thriving team culture: Use your leadership skills to build a collaborative, innovative, and high-morale environment and proactively seek opportunities to ensure alignment and open communication within the team and across other departments.Recruit and retain top talent: Attract exceptional computational protein design talent, and nurture their professional development.Leverage our proprietary generative AI models to design proteins for experimental validation:Analyze protein design problems based on functional requirements, biochemistry, structural biology and sequence homology.Generate designs using our proprietary generative AI models and optimize designs for experimental validation.Coordinate with our machine learning scientists and our lab-based protein engineers to plan and optimize the design process and validation strategy.Leverage our proprietary data to improve our models:Analyze and leverage our experimental results to improve the next round of designs and increase our success rate over validation rounds.Collaborate with machine learning scientists to finetune and prompt our models.Collaboration and communication:Be an effective interface between machine learning model development and experimental validation.Analyze, interpret, and present findings to internal and external stakeholders, guiding strategic decision-making.Foster a collaborative and innovative environment, proactively finding opportunities to innovate and create clarity and alignment between different units.Contribute to our internal computational tools:Help to pioneer our research, by improving the way we use, serve and integrate our AI models.Contribute to bespoke software and ML tools, such as for bioinformatics analysis, primer design, plate management, tracking and normalization, calibration of equipment etc.Help improve our data management systems and workflows.Scientific excellence and self development:Work to the highest scientific standards (publication-grade work).Stay on top of relevant developments in synthetic biology.Continue building your understanding of generative AI as well as expanded areas of protein and cell biology.Participate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences when relevant.ApplyWe offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. In your role you will architect novel generative models with the goal of designing new proteins that are functional in wet lab assays.Who you areYou are a strong ML researcher with experience in generative modeling. You have led or worked on notable machine learning projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues. You have a proven track record of deep expertise in generative modeling.You are a skillful ML developer. You write ML code that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production code. You have experience running training and inference on cloud hardware, parallelizing data and models across accelerators.You are a data engineer. You have experience building ML data pipelines for the training and evaluation of deep learning models. You are able to analyze the raw data, construct appropriate dataset splits and build pipelines that perform and scale.You are passionate about model performance. You have an intricate understanding of how ML libraries interplay with hardware and data and love to optimize deep learning models for training / inference speed. You have a deep knowledge of best principles and tricks in architecting deep learning models and use it to optimize how they perform on validation metrics.You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear. You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.What sets you apartYou have experience in computational biology or protein design. You have worked on ML-driven projects in biology.You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.Your ResponsibilitiesBuild machine learning models that work in the physical world [~90% of your time]:Contribute to a careful curation of our training and evaluation data.Propose and build ML evaluation metrics that align with real world success and company goals.Quickly prototype generative models against our lead metrics and perform deep analyses of improvements.Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.Contribute to the maintenance of our compute and ML development infrastructure.In collaboration with the bio team, plan wet lab testing campaigns and carry out model inference against biological targets to enable their testing in the wet lab.Quickly learn from wet lab results and feedback data to our models.Self development [~10% of your time]:Stay on top of the latest developments in ML.Gain a strong working understanding of protein and cell biology.Participate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences.ApplyWe offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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We are looking for a Member of Technical Staff who is skilled in computational biology and in machine learning. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and cure diseases. This is an opportunity to help shape and grow an organization that advances artificial intelligence and applies it to longstanding scientific challenges. In your role you will evaluate, apply and refine our proprietary generative models with the goal of designing new proteins that are functional in wet lab assays.Who you areYou are a scientific programmer. You have worked on notable science simulations or machine learning based projects, as documented by your contributions to widely used open source libraries, significant product launches or high impact publications, e.g. at NeurIPS, ICML, ICLR or Nature venues.You are a successful scientist. You have a PhD (or equivalent industry experience) in computational biology, bioinformatics, computer science, biochemistry, structural biology, physics, biophysics, bio/chem engineering, synthetic biology or a related field.You are an experienced molecular data analyst. As a data analyst, you use techniques from statistics, molecular dynamics and molecular visualization to generate insights on biomolecular problems.You are a skilful developer. You write software that is robust, tested and easy to maintain. You have experience using version control and code review systems. You are a fast prototyper and hacker who can also write beautiful production-quality code.You are an owner. You have a proven track record of delivering successful commercial and / or academic research projects, demonstrated through publications, patents, and/or commercially impactful outcomes, as well as other contributions to the scientific community.You are mission driven and curious. You are passionate about making a positive impact on the world, whether it's for patients, customers or beyond. You are motivated by the end goal and are flexible in adapting to different approaches and methodologies. You are curious about problems, however small or big they appear.You thrive in a dynamic environment. You work well in a fast-paced setting where goals must be achieved efficiently and urgently.What sets you apartYou have experience in protein design and bioinformatics. You have worked on ML-driven projects in biology or conducted large scale bioinformatics analysis.You have a natural science background. You are academically trained in physics, biology, chemistry or other related fields.You have helped scale a young biotech before. You have worked in startups and helped the company grow.Your ResponsibilitiesEvaluate the capabilities of our proprietary generative AI models:Design evaluation strategies and benchmarks to continuously evaluate the performance progress of our models.Lead deep-dives on select biological and therapeutic applications. Use your insights to identify opportunities and risks.Compare our generative models against external technologies.Closely collaborate with machine learners, protein designers, and biologists to ensure the technical and biological relevance of our model evaluations. Feed back results via regular meetings and presentations.Incorporate and automate relevant evaluation strategies into our model training workflows.Use your insights to help improve our models:Leverage your analytical results to guide model performance improvements. Collaborate in a joint codebase with other research scientists, engineers and protein designers, maintaining highest code standards.Implement and test ideas for model improvements, including finetuning on our own wet lab data and new architectural ideas or model features.Improve the way we apply our models:Use evaluation metrics to automatically optimize the way we apply our models, e.g. by identifying optimal sampling techniques and hyperparameters.Self development:Stay on top of the latest developments in ML.Gain a strong working understanding of protein and cell biology.Participate in knowledge sharing, e.g. organize and present at our internal reading group.Attend and present at conferences when relevant.ApplyWe offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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Member of technical staff @ Listen Labstl;dr: We are seeing a strong market pull and have an aggressive 6-month product roadmap, so we are expanding our engineering team. We're looking for someone highly technical (our current team includes 3 IOI medalists) who wants to build a product that is changing how companies make decisions. If you're excited about tackling hard problems end-to-end, we should talk.BackgroundLarge language models are becoming powerful reasoning engines, but they're missing a crucial element to be truly useful for businesses: up-to-date information about your company.Listen has created a product to quickly build this context. You can ask our AI any important business question, and it will:Find the right people to talk toAsk them the right questionsDeliver a report with video highlightsFor example, you could ask:"How do finance directors handle AI budgets?""What do Ozempic users think about our new beverage product?"By collecting this information, we're giving large language models current context about your business. This turns them into something like a strategic thinking partner for your company.The market research industry in the United States is fragmented, with about 5,000 consultancies and a total spend of $30 billion. We believe LLMs can automate most of this work. Our customers already include major brands like Google, Microsoft, Nestlé, Procter & Gamble, and Sony (only with founder-led sales). By helping these companies better understand their customers, we've already generated millions of dollars in ROI for them through improved products, enhanced advertising campaigns, and better decision-making.Some vitals about Listen (achieved without anyone on sales):Hypergrowth: we’re growing like crazy, both in mid-market and also signing large enterprise contracts with firms like Google, Microsoft, Nestlé and P&G.Our win rate on commercial deals is 83%. We have never lost a deal to a competitor. (We occasionally lose deals because a customer does nothing)Our founders are serial entrepreneurs (previous AI startup exit): The team has backgrounds from Jane Street, Tesla Autopilot, IOI, ICPC, Harvard, Carnegie-Mellon, UC Berkeley. Our CTO reported directly to Elon Musk at Tesla.Our market is gigantic: we have proven the ability to sign big six figure deals (biggest one has >$200k annual value) with household names like Google and Microsoft, but we also win the hottest mid-market firms like Anthropic and Canva.The product is highly viral: customers can share interviews to tens of thousands of users. That means free pipeline and a strong PLG motion. We receive inbound from Fortune 500s every day.Technical ChallengesMcKinsey On Demand: Building a research agentThe most interesting information is not publicly accessible on the web but only lives in people's minds. We are building an agent that, given a question, finds the right people to talk to, asks the right questions, and comes back with a report and actionable recommendations. That's what consultants charge millions for. The ceiling is incredibly high, and we are pushing the technical boundaries to help companies from investment firms to tech companies make the best decisions.Realtime Video InterviewsThe next version of our AI interviewer will have emotional understanding of video and voice to read between the lines. The goal is to make our interviewer more nuanced and effective than the most senior user researchers. This involves computer vision, speech analysis, and real-time decision making.Customer Preference Model & Synthetic PersonasWe're bringing Jeff Bezos' vision of the customer being part of every decision to life. We're building the deepest understanding of customers, which will allow us to extrapolate to new questions via synthetic personas. This involves complex modeling of human behavior, preferences, and decision-making processes.TeamThe engineering team includes:Three IOI medallistsSenior Staff engineerPrevious companies are from Jane Street, Tesla Autopilot, AffirmWe are growing aggressively and looking to double in the next monthsInvestorsWe're backed by Sequoia Capital, Conviction, AI Grant among others. About youYou love working on products end-to-end without detailed directionYou want to work in Next.js, TypeScript, and large language modelsYou are a collaborative builder and like to build systems with other engineers in mind.You are an excellent written and verbal communicator.You know when to seek assistance, and it's typically to discuss tradeoffs.You don't scoff at unglamorous engineering tasks, yaks don't shave themselves.Highly technicalInterested in building products end-to-end and owning the user experienceExcited about large language models

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📐 About this roleGreat writing, for everyone. It’s our vision for Writer, and our customers’ vision for their teams. We’re looking for an Strategic customer success manager whose top priority is helping our Fortune 50-100 customers succeed with Writer. Our Product is adopted across an organization, so we need someone who’s comfortable in a complex customer relationship environment navigating many relationships, project managing deliverables and driving value across their business.As our Strategic customer success manager, you’ll be on the ground-floor helping us build processes for onboarding, adoption, and retention. Our NRR is +130%, and GRR is +95%, so you’ll be starting from a great foundation.You'll be reporting to the Director of customer success and be working very closely with our other customer success managers in building a world class CS org.🦸🏻‍♀️ Your responsibilitiesAct as the single point-person for customers; creating, owning and driving their overall success planDevelop expertise as an advisor of best practices in developing on brand content at scaleMeticulously project manage programs that will help customers drive adoption, business value and renew usage of WriterOwn the full customer renewal process, including forecasting, negotiating, and proposal creatingBe accountable to Gross and net dollar retention rate targets for your customersWork collaboratively with Sales and introduce opportunities for revenue growth, cross-sell and upsellDevelop new and existing relationships across your customers to ensure we’ve strengthened our partnership and create new advocates across the customer’s organizationProduce and then “processify” decks, Looms, and emails that help your customers onboard, adopt, and renew usage of Writer at scale Collect and share insights that help Product identify both scalable and unscalable ways to educate and activate the user base on the productAnalyze product usage data to provide deeper insights to customer champions, and smarter understanding of customer adoption and value opportunities⭐️ Is this you?7+ years in a CSM role focused on Fortune 50-100 accountsExperience delivering high-touch, white-glove service to large, key accounts Experience carrying and regularly exceeding a GRR and NRR target, including full ownership of the RenewalExperience in deepening adoption within a team as well as introducing a product across many teams in an organizationExperience managing and building relationships across multiple stakeholder levels, including C-Level Experience in the art of Change management. You know how to motivate, unblock and overcome barriers to large, transformational changeAn ability to make the complex simpleKnowledge of editorial processes or working with Content marketing, Technical writing or UX teams a real plusExperience managing or owning large-scale deployments is a real plus And:Proactive communication skills, both sync and asyncIntrinsically motivated: you set the highest possible bar for what you build, write, shipIncredibly curious and an active listenerA great presenterA genuine leaderA connection to our mission of Great writing for everyoneA natural affinity to our values of Connect, Challenge, Own#LI-Hybrid 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWriter is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice.

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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.About the RoleWe are seeking Solutions Consultants to join our fast-growing team.As part of our team, you’ll be at the forefront of transforming how our clients engage their users through AI. You’ll partner closely with enterprise clients—advertisers and publishers—to design, implement, and optimize intelligent AI agent experiences. This is a cross-functional role that blends business acumen, technical fluency, top notch client service, and creativity. You'll help bridge client goals with Firsthand's evolving AI platform and play a key role in scaling new use cases, surfacing insights, and defining best practices.What You'll DoClient Integration & EnablementGuide new clients through onboarding, including solution design and tech implementation.Collaborate with clients to understand goals and align our solutions to their business needs.Manage the end-to-end build of Firsthand agents—from content ingestion to front-end deployment.AI Experimentation & Strategic ConsultingDesign and run AI experiments that demonstrate agent effectiveness and drive client value.Analyze engagement data and user interactions to generate actionable insights.Provide strategic recommendations to optimize agent design, content inputs, and user flows.Analyze performance of campaigns and generate compelling data analyses and case studiesInternal Collaboration & Product FeedbackCollaborate with Engineering and Product to troubleshoot issues and test improvements.Act as a voice of the customer to influence our product roadmap on behalf of clients.Create and maintain documentation, playbooks, and enablement materials to support team growth.PreSales & Sales SupportPartner with the commercial teams to craft compelling demos and technical narratives.Represent Firsthand in technical conversations during the sales cycle.Who You AreYou’ve worked for 5+ years in ad tech, martech, or a SaaS startup and love the pace and ambiguity of a growing company.You’re excited about AI and its applications in marketing, media, and user experience.You can toggle between technical details and strategic narratives with ease.You enjoy working with both internal teams and external clients, and can build trust quickly.You’re comfortable making slide decks, manipulating spreadsheets, working with data dashboards, and gleaning insights from complex datasetsBonus points for experience with SQL and troubleshooting network trafficWhy Join UsYou’ll join a small, agile team working on some of the most exciting use cases in AI and marketing.You’ll help shape how leading brands and publishers deploy next-gen AI experiences.You’ll work with a product team that values experimentation, customer feedback, and fast iteration.A rare opportunity to help introduce and guide deep and fundamental change to a fast-moving and innovative industry.You’ll play an integral role in shaping our company and culture.You’ll join an open, inclusive and professional culture and work environment.How to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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About FirsthandFirsthand has built the first AI-powered Brand Agent platform, transforming the way marketers and publishers engage consumers through their own AI agents, anywhere online.While most AI applications in marketing and advertising focus on back-office automation, the Firsthand Brand Agent Platform™ powers front-line consumer engagement. Operating across both owned properties and paid media, Firsthand's Brand Agents make a company’s expertise accessible in real time, adapting to consumers’ interests and guiding them towards the information they need to take action. Central to the platform is Lakebed™, the company’s AI-first data and knowledge rights management system that ensures brands retain full ownership and control of their expertise.Firsthand is led by Jon Heller, Michael Rubenstein, and Wei Wei, whose previous ventures helped build the foundations of modern digital advertising. Backed by Radical Ventures, FirstMark Capital, Aperiam Ventures, and Crossbeam Venture Partners, Firsthand is shaping the future of AI-driven consumer engagement.Firsthand is headquartered in NYC, with team members working together in-office three days a week.The RoleFirsthand is looking for an outstanding Director of Product Management who will be responsible for inventing, designing, and implementing novel solutions for the AI landscape within the Firsthand platform.ResponsibilitiesConceptualize and design new features within the platform, using a data-informed approach and establishing clear metrics for successDefine product roadmap, prioritizing initiatives and driving product development from concept to launchNavigate through ambiguity and change to collaboratively drive alignment with cross-functional teammatesWork with enterprise customers and internal stakeholders to understand their needs and incorporate those insights into product decisionsCommunicate product vision, strategy, and roadmap to key stakeholders, including senior leadership, to drive alignment and decision-makingStay informed of industry trends, emerging technologies, and best practices to drive continuous improvement and innovationQualificationsBS or MS in computer science, related scientific or technical field, or equivalent professional experience10+ years of experience in product management, preferably with 4+ years of experience in the marketing/advertising industryProblem-solver with the ability to create simple and intuitive solutions from complex requirementsPassion for learning and invention, as well as for efficient processes and scalable executionExperience with the product development cycle and leading new product go-to-marketsExcellent communicator and collaborator, with the ability to effectively share complex technical concepts with both technical and non-technical stakeholdersHow to ApplyIf you are ready to embark on an exhilarating journey at the forefront of AI, seize this incredible opportunity and apply here. We eagerly anticipate hearing from you!Note: Compensation and equity will be market-competitive for well-capitalized, early stage startups and will be discussed during the interview process.

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📐 About this roleGreat writing, for everyone. It’s our vision for Writer, and our customers’ vision for their teams. We’re looking for an Strategic customer success manager whose top priority is helping our Fortune 50-100 customers succeed with Writer. Our Product is adopted across an organization, so we need someone who’s comfortable in a complex customer relationship environment navigating many relationships, project managing deliverables and driving value across their business.As our Strategic customer success manager, you’ll be on the ground-floor helping us build processes for onboarding, adoption, and retention. Our NRR is +130%, and GRR is +95%, so you’ll be starting from a great foundation.You'll be reporting to the Director of customer success and be working very closely with our other customer success managers in building a world class CS org.🦸🏻‍♀️ Your responsibilitiesAct as the single point-person for customers; creating, owning and driving their overall success planDevelop expertise as an advisor of best practices in developing on brand content at scaleMeticulously project manage programs that will help customers drive adoption, business value and renew usage of WriterOwn the full customer renewal process, including forecasting, negotiating, and proposal creatingBe accountable to Gross and net dollar retention rate targets for your customersWork collaboratively with Sales and introduce opportunities for revenue growth, cross-sell and upsellDevelop new and existing relationships across your customers to ensure we’ve strengthened our partnership and create new advocates across the customer’s organizationProduce and then “processify” decks, Looms, and emails that help your customers onboard, adopt, and renew usage of Writer at scale Collect and share insights that help Product identify both scalable and unscalable ways to educate and activate the user base on the productAnalyze product usage data to provide deeper insights to customer champions, and smarter understanding of customer adoption and value opportunities⭐️ Is this you?7+ years in a CSM role focused on Fortune 50-100 accountsExperience delivering high-touch, white-glove service to large, key accounts Experience carrying and regularly exceeding a GRR and NRR target, including full ownership of the RenewalExperience in deepening adoption within a team as well as introducing a product across many teams in an organizationExperience managing and building relationships across multiple stakeholder levels, including C-Level Experience in the art of Change management. You know how to motivate, unblock and overcome barriers to large, transformational changeAn ability to make the complex simpleKnowledge of editorial processes or working with Content marketing, Technical writing or UX teams a real plusExperience managing or owning large-scale deployments is a real plus And:Proactive communication skills, both sync and asyncIntrinsically motivated: you set the highest possible bar for what you build, write, shipIncredibly curious and an active listenerA great presenterA genuine leaderA connection to our mission of Great writing for everyoneA natural affinity to our values of Connect, Challenge, Own#LI-Hybrid 🍩 Benefits & perks (US Full-time employees)Generous PTO, plus company holidaysMedical, dental, and vision coverage for you and your familyPaid parental leave for all parents (12 weeks)Fertility and family planning supportEarly-detection cancer testing through GalleriFlexible spending account and dependent FSA optionsHealth savings account for eligible plans with company contributionAnnual work-life stipends for:Home office setup, cell phone, internetWellness stipend for gym, massage/chiropractor, personal training, etc.Learning and development stipendCompany-wide off-sites and team off-sitesCompetitive compensation, company stock options and 401kWriter is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.By submitting your application on the application page, you acknowledge and agree to Writer's Global Candidate Privacy Notice.

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HomeVisionLocation: ArgentinaStack: Golang, React, Python Fullstack EngineerAt HomeVision we seek to build products and tools that help the home appraisals industry work more efficiently to value an asset class that is collectively worth $40 trillion. As such our team is now growing and we are needing to hire 2 experienced Backend Engineers.What you’ll do:You’ll work on a Golang-React stack and build workflow automation products for our core user base of home appraisal professionals.HomeVision engineers work on entire products— everything from releasing a valuation model to building frontend data visualizations that help communicate results in a human, intuitive way to our users and customersWhat you’ll bring:Strong experience in backend development, this is where the majority of our work isProven working experience in Unix/Linux environments and on distributed systemsAbility to learn and master new programming languages and technologies.Bonus points:Experience in one or more of the following technologies: Go, Python, Elasticsearch, and Docker.Experience in scientific and numerical computing (e.g., numpy, scipy, scikit-learn, tensorflow, pytorch, jupyter) considered a plus.The Interview Process:Silver.dev Recruiter ScreeningHiring Manager ScreenTake-home ChallengeTake-home ReviewLive-Coding Interview (if required by the Team)

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About the roleAt Artisan, we've raised $XXm to create AI Employees, called Artisans, and software which is sleek, easy to use, and replaces the endless stack of SaaS tools in every vertical. We're starting with outbound sales and our AI BDR, Ava. We'll be launching 3 new Artisans this year, and whoever fills this role will play a pivotal role in leading the shift from traditional SaaS to autonomous agents.Key responsibilitiesYou tell us.QualificationsAre excited about Artisan’s mission to reshape the future of work.Excel in fast-paced environments and are eager to work hard to achieve ambitious goals.You have a 'figure-it-out' mindset and take full ownership of your work.

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In 2012, Lambda started with a crew of AI engineers publishing research at top machine-learning conferences. We began as an AI company built by AI engineers. That hasn't changed. Today, we're on a mission to be the world's top AI computing platform. We equip engineers with the tools to deploy AI that is fast, secure, affordable, and built to scale. Whether they need powerhouse GPU hardware on-site or the flexibility of cloud-based solutions, we've got the horsepower to make it happen. Lambda’s AI Cloud has been adopted by the world’s leading companies and research institutions including Anyscale, Rakuten, The AI Institute, and multiple enterprises with over a trillion dollars of market capitalization. Our goal is to make computation as effortless and ubiquitous as electricity. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Jose office location 5 days per week. What You’ll Do Manage large scale deployments of GPU clusters in datacenter colocation around the country Work closely with Data Center engineering and operations to ensure proper deployment of data center infrastructure requirements Drive multiple simultaneous projects forward, assessing risks, and monitoring tasks.Proactively manage dependencies and anticipate/resolve execution issuesPartner with a full spectrum of cross-functional stakeholder, including Product, Engineering and Operations – to help ensure that we are building the right thing, testing correctly, deploying on time and meeting stated SLAs for various programsManage communication of progress/status with internal stakeholders and customer groups in various locations and time zones Interact with internal and external stakeholders at various levels concerning resolution of technical and scheduling issuesBuild strong partnerships across Lambda and leverage credibility and technical acumen to drive process improvements and efficiencies Contribute to the development of new business opportunities and expansion of existing business opportunitiesYou Have 7+ years of experience in program/project management for complex product development programs Have a thorough understanding of agile and waterfall management techniques Poses a technical background, with demonstrated ability to engage on technical topics - typically demonstrated by an Engineering degree or equivalent technical experienceHave excellent leadership and organizational skillsAre a strong communicator, able to structure internal and external communication Strong ability to humbly lead by influence and by exampleKnowledge and expertise using various project management toolsComfort with ambiguity, and ability to create structure where needed Nice to Have Experience in the machine learning or computer hardware industryDemonstrated successful experience including working in a manufacturing environment with complex systems integrationExperience with large-scale distributed data center environmentsSalary Range Information Based on market data and other factors, the annual salary range for this position is $176,500-$254,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~350 employees (2024) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsCommuter/Work from home stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About LuminaiNearly every organization in the world relies on complex manual work to carry out critical internal processes. These are processes that keep the world going — enrolling patients in a hospital, underwriting loans inside a bank, or processing new transactions for an airline. Yet most companies don’t have enough resources to properly automate these tasks and are stuck in manual, decades old way of doing things. At Luminai, we develop technology to automate long-form organization wide workflows of any complexity easily and safely using AI. Luminai serves some of the world’s most critical organizations in sectors like Healthcare, Finance, and Telecommunication to delegate mission-critical workflows that previously required hands-on human involvement, over to autonomous AI systems. Our approach combines frontier AI development, with a purpose built workflow execution engine to achieve this goal. We've raised significant amounts of capital (including some un-announced) from many of the best Silicon Valley VCs: General Catalyst, YCombinator, and investors including Kevin Weil (Chief Product Officer at OpenAI), Arash Ferdowsi (co-founder of Dropbox), Katie Stanton (former VP Global Media, Twitter) and CEOs of companies including Flexport, Notion, Front, Ramp and Twitch.About the RoleAs a Software Engineer working on Product, you will design, build, improve user facing applications and systems that deliver an exceptional experience. What you might work onLead large application development projects, including planning, designing and implementing across the stack.Collaborate and contribute on the core product direction that leverages system improvements and deliver ever higher customer valueMaintain and enhance overall Luminai tooling, working on both frontend and backend componentsChampion best practices in software development, including code reviews, testing, and maintainability, to ensure high-quality and resilient software.Contribute to the design and implementation of robust API, authentication, and middleware solutions, enhancing the scalability and security of our platform.Things we're looking forProven track record of shipping high-quality code in challenging projectsSignificant experience working with JavaScript/TypeScript, React and PythonYou sweat the important details and are passionate about maintainable, scalable frontend conceptsExperience across the entire stack, from backend to frontend (and if you have a preference, we’d love to consider it!)

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