Meta jobs in North Bergen, New JerseyCreate job alerts

Job Overview: The SEO Expert is responsible for maximizing search engine rankings for B&H product/listing and landing pages, as well as increasing the overall volume of organic traffic from search engines to the B&H Website. The SEO Expert leverages data analytics to develop and deploy effective search strategies aligned with business objectives. Due To the dynamic environment produced by constant changes to search algorithms, the SEO continuously learns, tweaks skills and experiments to develop working methodologies. They will take necessary steps to stay on top of latest trends and shifts in the industry. Essential Responsibilities: • Develop a viable/robust SEO strategy based on SEO best practices and data analytics, • Conduct regular Technical and On-Page SEO audits to determine opportunities and identify areas for improvement, • Monitor and set up maintenance/alert system for when things break or are underperforming (crawlability, site structure/technical, speed, XML Sitemaps, canonical tags, meta data, redirects, etc), • Prioritize projects, initiatives and areas of focus based on data analysis, • Conduct keyword research for individual projects, • Track and provide regular status reports on ranking positions, • Request appropriate content and/or refresh existing content to support Search engine ranking needs, • Request additions and/or modifications to existing category and/or landing pages, • Develop and implement link building and interlinking strategies, • Coordinate with other departments (e.g. Social, Buying, Categorization, IS, OLM, etc.) to support SEO related initiatives, • Provide guidance on website projects/initiatives to ensure compliance with SEO strategy and best practices Specific Knowledge, Skills and Abilities: • Strong analytic skills, high attention to detail and accuracy, • Ability to prioritize, multi-task and work with multiple teams on a variety of projects, • Ability to effectively interact with all levels of end users and technical resources, • Strong project management and communication skills, • Energetic and self-motivated Preferred Education, Experience and Licenses: • Proven SEO experience, • In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends), • Working knowledge of HTML, CSS, and JavaScript development and constraints, • Knowledge of ranking factors and search engine algorithms, • Up-to-date with the latest trends and best practices in SEO and SEM

JD Watches New York, NY (On-Site) Salary: TBD Role Overview We are looking for a Marketing Operations & Growth Manager to own the performance, systems, and revenue side of marketing. This role focuses on email marketing, CRM (HubSpot), analytics, and campaign execution—ensuring that all marketing efforts translate into measurable business growth. This is a data-driven, execution-focused role, not a creative production role. What You’ll Do Email Marketing & Campaign Execution • Build and manage email campaigns (Klaviyo or similar), • Develop promotional calendars aligned with revenue goals, • Manage pipelines, deals, and lead tracking, • Build automation workflows and follow-ups, • Segment audiences for targeted outreach, • Track performance across marketing channels, • Generate reports on revenue, campaign performance, and ROI, • Optimize campaigns based on data insights, • Analyze content performance and suggest improvements, • Support growth strategy through data and insights, • Work closely with the creative team to optimize output Requirements • 3+ years in marketing operations, CRM, or performance marketing, • Hands-on experience with email platforms (Klaviyo, Mailchimp, etc.), • Experience with HubSpot or similar CRM, • Strong analytical mindset and comfort with data, • Experience managing campaigns tied to revenue Nice to Have • Experience in eCommerce (Shopify preferred), • Familiarity with Meta Ads / Google Ads, • Experience working with high-ticket or luxury products

The Senior Manager, Paid Media will play a critical role in driving customer acquisition and revenue growth across Marc Fisher’s portfolio of eCommerce brands. This is a highly tactical, hands-on role responsible for developing, executing, and optimizing full-funnel paid media campaigns across channels including search, social, display, video, and affiliate. Working in close partnership with the eCommerce, performance marketing, and creative teams, this role ensures campaigns are effective, efficient, and aligned with brand and business goals. The ideal candidate is data-driven, detail-oriented, and comfortable managing multiple campaigns at once in a fast-paced, high-growth environment. This role reports to the Director of Ecommerce Marketing and will be based out of our New York City office, currently on a hybrid schedule – 3 days in office/2 days remote. Key Responsibilities: • Serve as the tactical point of contact for our paid media agency, holding them accountable for KPIs through daily performance audits, strategic steering, and rigorous budget management., • Deep-dive into attribution modeling, MMM (Marketing Mix Modeling), iROAS and LTV/CAC ratios to provide a holistic view of marketing efficiency. You won't just report numbers; you will provide the "why" behind performance shifts., • Align with business and brand goals, clearling communicating needs and learnings., • Continuously monitor MER, CTR, CVR, iROAS, and CPA across Google, Meta, and emerging platforms, identifying "leaks" in the funnel and directing the agency to pivot strategy in real-time., • Design and oversee a robust A/B testing roadmap for creative, audience targeting, and landing pages to drive incremental growth., • Manage agency to budgets, aligned with goals ensuring next dollar spent drives to KPIs., • Stay current on AI and digital trends, platform updates, and new advertising formats—bringing forward test-and-learn opportunities for continuous improvement., • Prepare and deliver weekly, monthly, and post-campaign performance reports with insights and actionable recommendations. Qualifications: • 5–7 years of hands-on experience in paid media strategy and execution (brand or agency side)., • Deep platform expertise in Meta Ads Manager, Google Ads (Search & YouTube), Pinterest, TikTok, and affiliate networks., • Strong analytical skills with the ability to interpret data and optimize performance., • Demonstrated ability to manage large budgets and scale performance campaigns effectively., • Experience with D2C eCommerce preferred agency experience is a bonus., • Ability to thrive in a fast-paced, cross-functional environment and manage multiple projects simultaneously., • Strong verbal and written communication skills with attention to detail., • Proficient in Excel/Google Sheets and familiar with tools such as Google Analytics, Looker, or other performance dashboards., • Self-starter with a growth mindset and a strong sense of accountability., • Excellent organizational and follow-through skills., • Curious and proactive in exploring new opportunities to drive results., • Collaborative team player who can clearly communicate across departments and with external partners. Benefits Include: • Comprehensive Medical, Dental & Vision offerings, • 401k Plan with company match, • 15+ Paid Holidays, • Summer Fridays, • 15 PTO days, • Company paid life insurance at 2x salary, • Employee Discount, • Commuter & Medical/Dependent Flex Spending Benefits, • Pet Insurance, • Salary range $110,000 - $130,000, based on experience Company Overview: Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD. Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels. Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

Company Description Rookline is a growing golf and lifestyle brand built by people who live and breathe the game. Our focus is on creating modern, elevated golf apparel that feels just as natural off the course as it does on it. Inspired by real players and real moments, our products blend performance, comfort, and understated style. We’re not a traditional sports brand — we’re building something more personal. Our team values creativity, authenticity, and collaboration. We move fast, think differently, and believe in ideas that connect with people who share our love for the game and its culture. Joining our team means being part of a small, passionate group shaping the voice and visual identity of a brand from the ground up. If you’re energized by storytelling, brand building, and creating things that resonate with a community, you’ll fit right in. Role Description We’re looking for a proactive and creative Marketing Associate to support our growing marketing efforts. In this role, you’ll work closely with the Marketing Manager to help execute campaigns, manage content, and strengthen our brand presence across multiple channels. You’ll gain exposure to all aspects of startup marketing from digital campaigns to events and have the opportunity to make a real impact in a fast-paced, collaborative environment. What You’ll Do • Reports to the Marketing Manager, • Assist in the execution of marketing campaigns across digital, email, and social platforms., • Help create/manage content for social media, email newsletters, and the company website., • Monitor social media channels, track engagement, and suggest creative ways to grow our audience., • Support marketing analytics by gathering data, preparing reports, and measuring campaign performance., • Coordinate with internal teams and external partners to ensure timely delivery of materials and content., • Maintain brand consistency across all marketing materials., • Stay current with industry trends, tools, and competitor activity to help the team innovate and improve. What We’re Looking For • Bachelor’s degree in marketing, Communications, or a related field., • 1–3 years of marketing experience (startup, agency, or in-house)., • Strong written and verbal communication skills with a creative edge., • Highly organized with strong attention to detail and follow-through., • Comfortable juggling multiple projects in a fast-moving environment., • Familiarity with analytics tools (e.g., Canva, Google Analytics, Mailchimp, or Meta Business Suite)., • Hands-on experience with social media marketing, content creation and/or E-commerce is a big plus. Bonus Points For • Basic knowledge of SEO, paid ads, or influencer partnerships., • Experience using CRM or marketing automation platforms (e.g., HubSpot, Klaviyo)., • Passion for golf and enthusiasm for the sport is a plus., • Interest in learning and growing within a small, dynamic marketing team. Why You’ll Love Working Here • A creative, startup-style environment where your ideas actually shape the brand, • Hands-on experience across marketing, content, and community initiatives, • A collaborative, tight-knit team that values authenticity and individuality, • Opportunity to grow with a brand that’s redefining a classic sport for a new generation, • Perks that reflect our lifestyle — flexible work, product discounts, and the occasional tee time Hybrid work environment with remote working schedule on Fridays.

Who we are: Ellis Brooklyn is an award-winning, sustainable fragrance brand. Since 2015, we've been creating fine fragrances from a different perspective, focusing on modern innovations, quality ingredients and a modern approach to our everyday fragrances. We are looking for a hungry, pop culture aware and analytical marketer who loves driving pop culture conversations. Who You Are: As the Director of Ecommerce and Growth Marketing, you are a innovative, analytical marketer. You will help drive and lead the ideation, planning, and execution for Ellis Brooklyn's digital channels including DTC, Amazon and TikTok Shop. You’ll spearhead collaboration across key stakeholders from Influencer, Events, Creative and Ecommerce teams to ensure we’re hitting our company targets. You will report and work directly with the Founder-CEO. This position directly manages an ecommerce manager and digital/growth marketing associate. Depending on skill set and experience, this role would also manage the digital brand marketing team: associate director, senior manager, associate manager and coordinator. Customer Journey Architecture & Personalization: • Design and implement dynamic user journeys based on customer segmentation, • Build sophisticated personalization logic that consider things like health assessment responses and severity scores, price sensitivity indicators, acquisition channel and intent signals, • Create adaptive site experiences that evolve based on user actions Digital Commerce Leadership • Oversee all aspects of Ellis Brooklyn's Shopify storefront - site strategy, UX, and performance., • Lead UX research including user interviews, journey mapping, and usability testing, • Build and operationalize a rigorous CRO experimentation framework, including A/B and multivariate testing across PDPs, landing pages, offers, and funnels., • Partner with design, product, and development to launch and QA rapid tests that improve conversion, AOV, and subscriber growth., • Direct all three digital channels: Ecommerce, Amazon and TikTok Shop, • Develop dashboards and analytics pipelines (GA4) to track site performance and surface actionable insights. Growth Strategy & Performance • Own Ellis Brooklyn’s growth model: CAC, LTV, retention, and revenue efficiency., • Design, execute, and continuously optimize a full-funnel acquisition strategy across paid, organic, and referral channels (Meta, Google, TikTok, SEO, affiliates, influencers)., • Build or leverage multi-touch attribution (MTA) models to understand true channel contribution and guide spend decisions., • Lead creative and funnel testing programs that connect brand storytelling with measurable conversion outcomes., • Partner with finance to forecast revenue, allocate budgets, and model payback periods and channel ROI. Lifecycle & Retention • Lead lifecycle and CRM strategy (email, SMS, loyalty) to nurture customers throughout their fragrance journey., • Partner with outside agency to optimize flows, segmentation, and personalization for retention and repeat purchase., • Integrate retention insights into product roadmap, content strategy, and customer experience. Leadership & Cross-Functional Collaboration • Lead and inspire a cross-functional team of marketers, growth analysts, and agency partners., • Collaborate closely with Creative, Product, and Operations to ensure alignment on campaigns, launches, and site priorities., • Foster a data-driven, test-and-learn culture while maintaining brand integrity and emotional resonance., • Communicate results and insights with clarity to executive leadership, translating performance data into strategic decisions. The Ideal Candidate • 8–10+ years in DTC e-commerce and growth marketing, ideally in beauty or wellness, with a proven ability to align channel strategy and daily priorities to overarching company goals and KPIs., • Proven success scaling a digital brand through efficient CAC, high retention, and data-driven experimentation., • Deep understanding of Shopify, GA4 and lifecycle platforms (Klaviyo or similar) with a track record of leading testing that drives meaningful conversion and AOV gains, • Expertise with performance channels (Meta, Google, TikTok) and emerging growth tactics (SEO, affiliates, influencer amplification). Understanding Amazon, DTC and TikTok channels and how they feed each other., • Perform to the company's budgets and chase into goal as necessary., • Analytical and strategic problem-solver with strong quantitative acumen and creative intuition that translates insights into clear, actionable plans, • Exceptional communicator and leader who can simplify complexity, build cross-functional alignment, and lead with warmth, clarity, and accountability., • Passionate about fragrance and beauty a plus! Compensation & Benefits • Competitive base pay ($140-165k) + annual performance bonus, • Health, dental, and vision insurance, • 3 weeks paid vacation, • sick days, • 401k

Adecco Creative and Marketing has partnered with a leather goods accessory company to hire a Paid Social Assistant. Title: Paid Social Assitant Pay: $26-$28/hr Location: Hybrid NYC Assignment length: Open ended Primary Purpose: We are looking for a Media Associate to manage Paid Social channel. This role will lead execution of the overall strategy to drive sales, increase ROAS, and fuel new customer growth. This position will report directly into the Sr. Manager, Demand Capture (performance) to build a best-in-class marketing strategy, ensuring all aspects of media activations are executed with excellence, including working collaboratively across internal teams (buying, site, creative) and external teams (marketing agencies, vendors, partners). The successful individual will leverage their proficiency in marketing to... · Strategy Execution: support Sr. Manager, Demand Capture (performance) in designing and executing paid social initiatives focused on improving ROAS, driving incremental growth, and new customer acquisition · Management & Quality Control: monitor paid social campaigns in Meta, perform daily QA, monitor budgets & test, and provide sub-tactics & creatives optimization recommendation · Trafficking: Contribute to the process of briefing and approving creative assets through the creative team. Manage asset trafficking documents and calendars, assuring all promo creatives are accounted for and executed properly · Reporting: provide weekly, monthly and quarterly recap of channel performance and key learnings · Accruals & Invoices: support Sr. Manager, Demand Capture (performance) on monthly and quarterly financial accrual and invoicing submission processes – with the ability to reconcile any variances between budgets and invoices · Cross-functional collaboration: collaborate with internal team for all launches and promotional activity. Act as a liaison with external vendors and agencies to proactively keep ahead of timelines, deliverables, and communications The Ideal Candidate will possess... · Bachelor’s Degree · Specialized experience and expertise within paid social, ideally with a recognized brand in retail/fashion or at an agency · Expertise in standard industry reporting and key paid social tools, i.e. Meta, Google Analytics · Experience in Marpipe is a plus · Ability to understand all key marketing metrics and paid social sub-tactics performance · Analytical mindset with strong ability to interpret data and surface insights · Demonstrated ability to collaborate with, consult with, and influence cross-functionally. · Aptitude for translating marketing plans and outcomes into clear, concise calendars/recaps. · Ability to convey and connect both technical concepts and business context. · Comfortable working with ambiguity and a bias for action. · Strong verbal and written communication skills. · Excellent organizational skills are a must. Fine print: This is a W2 position. Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. There is no PTO or holiday pay for contracts. Sick leave is accrued where applicable, check your state laws. Equal Opportunity Employer/Veterans/Disabled Must be authorized to work in the U.S. without employer sponsorship. To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: *The California Fair Chance Act *Los Angeles City Fair Chance Ordinance *Los Angeles County Fair Chance Ordinance for Employers *San Francisco Fair Chance Ordinance Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Colangelo & Partners (C&P) is a leading integrated communications agency for fine wine and spirits in the United States, sought after by top brands and industry leaders for the quality of our results, creativity, and strong return on investment. We are seeking a Social Media Account Executive to join our Digital team. This is a hybrid position, with the selected candidate working three days per week from one of our offices in New York, San Francisco, or Napa, and two days remotely. The ideal candidate has a background in social media management, Meta and Google paid advertising, email marketing, and content writing. They should be comfortable managing multiple social media accounts and executing campaigns across platforms. Candidates should be familiar with major social media platforms, including Facebook, Instagram, Pinterest, TikTok, and X. The right person for this role is proactive, detail-oriented, and able to manage posting and engagement across multiple client accounts while maintaining brand voice and consistency. Knowledge or interest in the wine and spirits industry is a plus, but not required. Salary Range: $60,000 - $73,000, DOE. Responsibilities: Account Management: • Serve as the primary point of contact for assigned clients, maintaining proactive communication, providing updates, and offering strategic recommendations., • Respond to client inquiries and feedback, ensuring a high level of customer satisfaction and communication., • Generate, edit, publish, and manage engaging content that aligns with each client’s brand voice and identity across social platforms., • Support additional projects and responsibilities as needed. Content & Creative: • Collaborate with the creative team to develop visually compelling and engaging content that supports campaign objectives., • Contribute to content strategy development, including campaign ideas, content pillars, and creative concepts., • Ensure all content meets brand guidelines, messaging, and compliance standards before publishing., • Assist with crisis or reputation management on social channels as needed. Social Media Strategy: • Creating social media strategy frameworks that align with the client's business goals and KPIs., • Monitor social media trends, track performance metrics, and adjust strategies to optimize results across clients. Paid Advertising: • Manage social media advertising campaigns across platforms (Meta, LinkedIn, YouTube, and Google) to maximize reach, engagement, and ROI, including but not limited to, • Develop and execute cross-platform media plans, strategically allocating budgets across campaign flights, audience segments, and product/service offerings., • Partner with senior strategists to optimize campaign performance, improve conversion rates, and drive measurable client outcomes., • Set, monitor, and optimize bids, budgets, and targeting parameters across placements, devices, geographies, demographics, and audience segments., • Identify emerging tactics and niche strategies within key verticals, integrating new performance-driven approaches into active campaigns., • Implement and troubleshoot tracking infrastructure, including pixels, UTM tagging, and conversion events for accurate measurement and attribution., • Assist with structured testing initiatives across creative, audience, and placement variables to improve campaign performance and inform future media strategies., • Identify emerging tactics, niche strategies, and platform updates to integrate new performance-driven approaches into campaigns. Analytics & Reporting: • Monitor performance metrics to evaluate campaign effectiveness and inform optimizations., • Prepare client reporting and performance summaries based on key performance indicators (KPIs), including engagement, reach, conversions, and audience growth. Qualifications: • Minimum of 3 years of professional experience in social media and digital advertising, • Ability to plan, schedule, and execute multi-channel campaigns, including organic and paid content, across multiple brands., • Proficient in using Meta Ads Manager and other paid advertising tools to drive engagement, increase traffic, and grow social media followers., • Strong understanding of content calendars, scheduling tools, and workflow management for multi-account social media operations., • Excellent written and verbal communication skills, with the ability to create engaging and on-brand content., • Strong organizational and time management skills with the ability to manage multiple client accounts simultaneously in a fast-paced environment, • Able to work independently and collaboratively, while effectively managing client relationships., • Understanding of how social media content supports and reinforces client brand attributes, maintaining brand identity across multiple accounts., • Familiarity with social media analytics and reporting tools, such as Sprout Social, to track and analyze performance., • Strong understanding of platform functionality: Facebook, Instagram, TikTok, Pinterest, LinkedIn, X, and YouTube., • Interest or experience in influencer marketing and content creation is a plus., • Knowledge or interest in the wine and spirits industry is a plus. What We Offer • Clients: Our client list is incomparable, across a range of countries, regions, and categories., • Opportunities for Advancement: We are growing within all of our categories every year, affording every employee potential for promotion and career advancement., • Fun!: Happy hours, events, product tastings both in the office and outside., • Diversity: We strongly believe the diversity of our staff – made up at all levels of people from all backgrounds, from 12 countries, speaking 8 languages – is our strength, not only because of the vibrant intellectual and cultural working environment such diversity fosters but because it reflects the diversity of the marketplace in which we make our appeal and the diversity of our clients., • Flexible Time, Flexible Space Policy: We believe employees who are happier outside of work are happier at work, and vice versa, so we have created a culture that prioritizes work-life balance. We have a flexible PTO system and we take off the week between Christmas and New Year's., • Expertise: We are the largest fine wine and spirits-focused integrated communications agency in the U.S., • Learning Programs: The collective wine and spirits knowledge of our staff is unparalleled. You will have the opportunity to learn from others, both formally and informally, and through our in-house educational programs share your knowledge., • Prestige: Our reputation in the industry, among both media and trade, is second to none, and an email address from our domain is afforded certain respect and a second look., • Pay & Benefits: We offer competitive salaries within our category and full benefits - health, dental, vision, life insurance, 401K, and a generous PTO policy.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$275,000—$350,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities. Our Research teams work with the industry's leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. • Lead a team of highly effective research scientists and research engineers on LLM evals., • Conduct research on the effectiveness and limitations of existing LLM evaluation techniques., • Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness., • Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects., • Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols., • Implement scalable and reproducible evaluation pipelines using modern ML frameworks., • Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives., • Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions, • Remain deeply involved in the research community, both understanding trends, and setting them, • Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results., • 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development, • Experience and track of recording in landing major research impacts in a fast-paced environment, • Experience supporting and leading a team of research scientists and research engineers, • Excellent written and verbal communication skills, • Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals, • Previous experience in a customer facing role. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$264,800—$331,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. Impact and Responsibilities: • Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals., • Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure., • Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle., • Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company. Ideally you'd have: • 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects, • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Experience with orchestration platforms, such as Temporal and AWS Step Functions., • Experience with NoSQL document databases (MongoDB) and structured databases (Postgres)., • Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt)., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is seeking a highly motivatedRevenue Operations Manager to join our fast-paced team. This individual will be at the intersection of Finance, Engineering, and Sales, gaining exposure to complex consumption-based billing models and the operational infrastructure of the Generative AI industry. In this role, you will have the unique opportunity to build sustainable, scalable systems that directly enable Scale's rapid growth. We are looking for a technically-minded, self-starting problem solver who is passionate about using data to drive operational excellence. • Oversee and ensuring the accurate tracking of all customer-facing work across all of our Generative AI customers., • Utilize strong analytical and SQL skills to investigate root cause revenue discrepancies through performing large data reconciliations, propose solutions, and collaborate with relevant teams to implement corrective actions., • Contribute to the development of more automated and scalable consumption tracking solutions. Collaborate with cross-functional teams to streamline processes, identify areas for automation, and implement tools and systems to enhance efficiency., • Lead collaborative work across multiple members of the team and cross functional partners from operations and engineering who are responsible for day-to-day support of all of Gen AI revenue and billing., • 3+ years of professional experience in an analytical role top-tier public accounting firm, consulting firm, or tech company., • An undergraduate and/or graduate degree with an analytics-heavy major (e.g., STEM, economics, computer science, accounting, etc.)., • Experience working with financial data and reconciling large data sets., • Comfort working in ambiguity in a fast-paced work environment., • Excellent communication skills, both written and verbal, with the ability to present complex concepts and insights to stakeholders at various levels., • Strong quantitative skills and the willingness to dig into data. Strong SQL experience is a must. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities. The General Agents team, part of Scale's Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers. As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you'll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle-from model and system design to evaluation, deployment, and iteration-bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments. You will: • Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases., • Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints., • Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings., • Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs., • Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems., • Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage., • Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level. Ideally you'd have: • 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases., • Strong engineering fundamentals, supported by a Bachelor's and/or Master's degree in Computer Science, Machine Learning, AI, or equivalent practical experience., • Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design., • Proven proficiency in Python, including writing production-quality, testable, and maintainable code., • Experience building systems that integrate models with external tools, APIs, databases, and services., • Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints., • Strong communication skills and comfort working in customer-facing or cross-functional environments. Nice-to-haves: • Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs)., • Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups)., • Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production., • Experience deploying ML systems in cloud environments and operating them at scale., • Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's Enterprise Applications business is growing faster than ever in the quest to develop reliable AI systems for the world's most important decisions. As an AI Deployment Strategist Intern, you will work alongside our DSG team, helping our largest customers build, launch, and scale groundbreaking GenAI solutions that redefine their industries. You will support deployment success and contribute foundational industry knowledge to our team, helping turn bold ideas into real impact and ensuring engagements run smoothly. In this role, you will work directly with data, engineering, business, and AI leaders at some of the world's top Enterprises. You will support projects from early scoping through delivery and expansion, contributing to measurable business outcomes. Within Scale, you will collaborate closely with Machine Learning, Engineering, and Finance teams to streamline execution, improve processes, and shape our approach to enterprise delivery. The outcome of a DSG Intern's time at Scale should include tangible contributions to live enterprise accounts and the creation of structured intelligence artifacts that benefit the Enterprise Business Unit. Interns will also participate in weekly sessions with DSG leaders, gain exposure to cross-functional teams across Engineering, Product, and GTM, and receive structured feedback throughout the program. This is a fast-moving, high-impact internship that provides exposure to customer strategy, operations, product strategy and execution. You will work closely with DSGs who serve as the voice of the customer and support the execution of customer projects. During the internship, you will contribute to: • Client Leadership & Growth: Support DSGs in managing relationships with enterprise customers and help ensure engagements run smoothly and deliver value, • Flawless Delivery & Execution: Support delivery across workstreams by helping track timelines, deployment milestones, and operational processes, • Strategic Account Expansion: Conduct research and analysis to help identify new opportunities within verticals and existing accounts that may drive business impact, • Cross-Functional Problem Solving: Collaborate with EPD, Finance, and Operations teams while supporting operational improvements and delivery processes, • Strategic Feedback Loop: Prepare structured insights and executive-ready materials that help inform product strategy and enterprise delivery approaches Ideally, you'd have: • Currently pursuing an MBA or graduate degree with prior experience in consulting (MBB), banking, private equity, technology, or a related analytical field. Prior 4+ years of work experience in high-growth, high-ambiguity environments, • A technical background (education or professional experience within CS, Economics, Statistics, Engineering or STEM field), • Exposure to GenAI solutions via your current role or personal projects, • A proven track record in building and expanding client relationships, • Ability to understand core AI / ML concepts and build great relationships with technical customers, • Great cross-functional experience and collaborative ability, • Excellent verbal and written communication skills, • A track record of structured, analytics-driven problem solving, • A history of diligence and organization across multiple work streams, • Exposure to enterprise AI or data infrastructure products PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Design and Develop Applications: Create and maintain software application architectures that meet business requirements. Data Management: Lead data modelling, data integration, and data governance efforts to ensure data quality and consistency. Collaboration: Work closely with stakeholders, software developers, and IT teams to plan and execute projects. System Integration: Ensure the compatibility and integration of software components and data systems. Performance and Quality: Monitor and enhance the performance, quality, and responsiveness of applications. Documentation: Develop and maintain architecture models, documentation, and guidelines. Issue Resolution: Identify and resolve application and data issues promptly. Required Skills: Proficiency in modern data processing technologies (along with Meta data driven data modelling) and application development frameworks, programming knowledge, OOPs concepts, RDBMS, Knowledge of agile development methodologies, Experience with data orchestration and pipeline tools. Cloud platform expertise (Preferably Google cloud platform), any programming background is necessary. • Expertise in database technologies (e.g., SQL, NoSQL, PostgreSQL, MongoDB) and DB Cache, • Understanding of microservices architecture and RESTful API design (python API knowledge)., • Proficiency in front-end and back-end development frameworks (e.g., React, Angular, Node.js)., • Familiarity with CI/CD pipelines and DevOps practices., • Knowledge of security best practices and tools (e.g., IAM, encryption, firewalls).

Position Summary As Director, Data Management & Visualization, you will be pivotal in managing the E2E data and visualization process including collection, aggregation, QA, processing and visualization for a major client while also serving as a consultant to all Mediabrands stakeholders. In addition to managing the day-to-day data and visualization needs of internal and external clients, this role will be managing a high functioning team of managers and/or analysts/sr. analysts. Key Responsibilities • Business Ownership: Independently run a business unit or portfolio, including full accountability for delivery, quality, and client satisfaction., • New Business Setup: Lead setup from scratch for new accounts/businesses, including systems, processes, and data flow design., • Data Migrations: Manage and execute large-scale data migration projects and comparable complex assignments., • Consistent Processes: Execute consistent processes across Mediabrands clients., • Campaign Naming Conventions: Define and ensure adoption of consistent campaign naming structures across platforms and reporting environments., • Data Integration: Prepare and integrate outside datasets, including first-party and non-standard digital inputs, into analytics workflows., • Data Quality & Anomaly Detection: Implement QA processes and anomaly detection to safeguard data integrity across all deliverables., • Leadership Skills and Stakeholder Management:, • Engage with senior clients, internal leaders, and cross-functional teams to drive adoption of data solutions., • Ensure quality work output from onshore/offshore teams, • Media Platform Knowledge:, • Campaign Management: CM360, DSPs., • Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X., • Search: SA360, Bing, Google Ads. Required Skills Technical Skills: • Deep understanding of end-to-end data flow, APIs, databases, and BI tools., • Visualization and dashboard creation experience; Tableau preferred., • Strong BI tool skills (Alteryx, Power BI, KNIME, etc.); Tableau Prep preferred., • Database experience (Snowflake preferred)., • Understanding of taxonomy creation and execution Media Platform Knowledge: • Campaign Management: CM360, DSPs., • Social: Meta, Snapchat, TikTok, Pinterest, LinkedIn, X., • Search: SA360, Bing, Google Ads. Leadership Skills: • Proven experience in management of multiple team members, • Ability to provide feedback & guidance in a constructive manner to direct reports, • Demonstrate collaboration, including ability to drive clarity in a multi-stakeholder environment Desired Skills & Experience • 7+ years of experience in agency or client-side digital media planning or media analytics, • Presentation development and delivery, • Strong written and verbal communication, • Ability to engage, develop, and give feedback to drive success of colleagues not reporting to you directly Desired Skills & Experience • 10+ years of experience in agency or client-side digital media, data management, or media analytics., • Strong presentation development and delivery skills., • Excellent written and verbal communication., • Demonstrated ability to influence, engage, and develop colleagues (direct and indirect reports)., • Experience driving innovation and implementing scalable data/reporting solutions at enterprise scale. Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position with Mediabrands, please email . Salary Range $140,000—$160,000 USD

Position Summary We are looking for a manager to join our Data and Technology team with the Client Growth Analytics group. A successful candidate should be a product-minded, hands-on individual with a strong understanding of technical buildouts, strong leadership skills, entrepreneurial spirit and interest in media and marketing. You will be critical in helping establish a suite of automation tools & products for a large pharmaceutical client. Curiosity and passion for automation, data management, digital data and new technologies, is a must! Primary day to day tasks will include working with teams across Initiative to gather requirements and information on workstreams which can be streamlined, developing complex buildout blueprints, leading coding & technical work and communicating with key stakeholders. A successful candidate will have a wide variety of skills in media, technology, data, and cross team management. Key Responsibilities: Essential Functions: • Collaborate with other company teams to identify existing procedures and identify areas for automation / improvement., • Engage proactively with key stakeholders and end users to collaboratively define, assess, and prioritize business needs across the organization., • Responsible for designing major programming & buildout blueprints and executing development work on said requirements., • Translate high-level requirements into detailed user stories and use cases that design, and development teams can easily implement., • Contribute to certain strategic planning activities and operational improvement initiatives., • Assist in developing marketing and training materials, and be the subject matter expert to provide demos, education, and training to drive adoption of the product., • Assist the management and mentoring of a team, ranging from entry level staff to managers. Required Skills & Experience: • 3+ years of automation development work, • Intermediate or better SQL skills, • Expert in Excel from basics (pivoting, VLOOKUP’s, data manipulations, etc.) to advanced skills (macro creation, custom programming, developing plugins, etc.) is a must., • 2 years of Programming in Python or C++, • Excellent organizational skills: capacity to manage multiple priorities and tasks simultaneously and communicate with all levels of management. Desired Skills & Experience: • Experience with advertising technologies or operations (media planning, buying, reporting) is a plus., • Experience working with data from digital channels (DCM, Meta, AdWords, Bing, etc.) is a plus., • Previous management experience is a plus., • Experience working with databases, SQL, tableau and other tools are a necessity, specifically Snowflake., • Advanced Programming Experience in Python and/or C++, with a strong understanding of object-oriented programming, • Excellent written and oral communication skills including presentation experience to large and diverse audiences., • Exceptionally self-motivated and directed., • Experience advocating and driving product adoption and usage., • Superior analytical, evaluative, and problem-solving abilities. Wage and Benefits We offer a Total Rewards package that includes medical and dental coverage, 401(k) plans, flex spending, life insurance, disability, employee discount program, employee stock purchase program and paid family benefits to support you and your family. The salary range for this position is posted below. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position, market considerations, budgetary considerations, tenure and standing with the Company (applicable to current employees), as well as the employee’s/applicant’s skill set, level of experience, and qualifications. Employment Transparency It is our policy to provide equal employment opportunities to all employees and applicants for employment without regard to race, color, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, veteran status, disability, or any other basis prohibited by applicable federal, state, or local law. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. The employer will make reasonable accommodations in compliance with the American with Disabilities Act of 1990. The job description will be reviewed periodically as duties and responsibilities change with business necessity. Essential and other job functions are subject to modification. Reasonable accommodations may be provided to enable individuals with disabilities to perform the essential functions. For applicants to jobs in the United States: In compliance with the current Americans with Disabilities Act and state and local laws, if you have a disability and would like to request an accommodation to apply for a position, please email . Salary Range $90,000—$105,000 USD

About the Company The Gotham Sports App, the exclusive TV Everywhere and DTC streaming home of the YES Network and MSG Networks, launched in October 2024 and provides New York sports fans with access to their favorite programming and teams all in one location. In addition to a live 24/7 stream of the YES Network, the app offers several Emmy Award-winning exclusive original YES programs, podcasts and the live streams of Long Island Nets G-League games. The YES Network, America’s pre-eminent regional sports network, owns the exclusive regional media rights to the 27-time World Champion New York Yankees and the Brooklyn Nets. In addition to live Yankees and Nets games and related pregame and postgame coverage, YES televises numerous Yankees- and Nets-themed original programs such as its Homegrown series, The Stadium, Yankees Magazine and Nets Magazine. The network also airs Yankees minor league games, original biography, interview and magazine programs, college sports and AC Milan soccer. YES has earned 161 Emmy Awards since its 2002 launch. MSG Networks, a pioneer in sports media, owns and operates two award-winning regional sports and entertainment networks (MSG and MSG Sportsnet) and MSG+, a direct-to-consumer and authenticated streaming service, that serve the nation’s number one media market, the New York DMA, as well as other portions of New York, New Jersey, Connecticut and Pennsylvania. The networks feature a wide range of compelling sports content, including exclusive live local games and other programming of the New York Knicks, New York Rangers, New York Islanders, New Jersey Devils and Buffalo Sabres, as well as significant coverage of the New York Giants and Buffalo Bills. This content, in addition to a diverse array of other sporting events and critically acclaimed original programming, has established MSG Networks as the gold standard in regional sports. MSG Networks is part of the Sphere Entertainment Co. (NYSE: SPHR). About the Role We’re looking for a data-driven, detail-oriented Marketing Associate to support lifecycle marketing efforts for the Gotham Sports App. This role will focus on executing customer-facing campaigns across email, push, and in-app channels, helping drive engagement, retention, and overall user growth. Reporting to the Senior Marketing Manager, this person will play a key role in bringing campaigns to life, monitoring performance, and identifying opportunities to optimize the fan experience. Responsibilities • Omnichannel Lifecycle Execution: Support the execution of customer-facing communications across email, push notifications, and in-app messaging to drive retention and engagement. You’ll partner closely with the Senior Marketing Manager to build, QA, and deploy campaigns., • Growth Optimization: Assist in designing and executing A/B tests across the user journey. You’ll help analyze performance and contribute ideas to optimize messaging, incentives, and in-app features like Live Stats and Live Rewind., • Brand Voice & Fan Engagement: Act as the 1:1 voice of the fan. You’ll pivot messaging seamlessly between teams and sports, ensuring our communication feels authentic to each specific fanbase while maintaining the Gotham Sports brand standards., • Paid Media Strategy & Operations: Partner with the Senior Marketing Manager and external agencies to support paid marketing efforts across Meta, Google, and programmatic platforms. Assist with campaign setup, monitoring, and performance tracking., • Creative Project Coordination: Collaborate with internal teams and designers to help bring campaigns to life. You’ll support briefing, timelines, and asset delivery to ensure campaigns are on-brand and delivered on time., • Rapid Data Analysis: You don’t just "look" at data—you use it to make moves. You will monitor campaign performance daily, interpreting attribution models and dashboard metrics to pivot tactics in real-time. Qualifications • 2–4 years of marketing experience, specifically within media, streaming, or a subscription-based product (SVOD)., • Sports Fluency: A working knowledge of the NY/NJ sports landscape. You know the difference between a "Blue Seats" fan and a "Bleacher Creature.", • The Hybrid Mindset: Ability to thrive in a matrixed organization. You are comfortable reporting to one lead while collaborating daily with another, all while maintaining the "startup speed" required for a streaming app., • Data-Driven: A natural inclination to ask "what does the data say?" before making a creative or tactical decision. Required Skills • Braze Power User: Proven experience with Braze Canvas is essential. You must be comfortable with Liquid logic for deep personalization and understanding API-triggered campaigns., • Attribution & Tracking: Proficiency with AppsFlyer (or similar MMP). You should be comfortable building and managing tracking links and understanding how they feed into attribution modeling., • Paid Media Dashboards: Hands-on experience navigating the backends of Meta Ads Manager and Google Ads to monitor spend, reach, and conversion health., • Platform Literacy: Familiarity with MixPanel (or a similar Data Visualization tool) and project management software (e.g., Asana, Jira, or Monday.com)., • Strong communication and interpersonal skills., • Experience in sports marketing or related fields preferred Pay range and compensation package Salary Range: $70,000 – $90,000 Medical/Dental/Vision/Life insurance, FSA/HSA, parental leave, transit commuter benefits, 401k w/ employer match. Equal Opportunity Statement We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

At Manifest, our work is fueled by data, ignited by creativity and driven by results. We are a proudly independent, full-service agency represented by diverse talents, backgrounds and expertise, and we have one goal: to deliver breakthrough ideas and brand experiences that drive emotional connections and measurable impact. Let’s chat. We’re hiring a Performance Marketing Manager to focus on paid media for one of our key accounts. Our ideal candidate must have expertise in paid search and paid social (Meta specifically, and additional familiarity is a big plus). This role is for you if you have 3-5 years of experience executing paid search and paid social campaigns, as well as experience collaborating with internal agency teams and client teams. This role is based (hybrid) in Phoenix. Responsibilities Requirements -Minimum 3-5 years proven track record running performance marketing programs with the focus on paid search and paid social (Meta), primarily in advertising or marketing agencies. -Expert computer proficiency: experience with Microsoft Office Suite, Keynote, Google Data products (such as Google Analytics), and keyword research tools: Google Keyword Planner, etc. -Proficient in Google AdWords, Bing Ads, and CPC campaign strategy. -Exceptional interpersonal and communication skills, with the ability to clearly and concisely articulate the rationale behind the methodology that goes into performance media strategy. -Detail-oriented with strong analytical skills and ability to maintain key department metrics. -Strong communication and presentation skills. -Highly organized and able to direct own activities and to promote cross-team collaboration. -Troubleshooting capabilities and a self-starter attitude. -Outspoken and willing to speak up on areas of expertise, while being articulate in technical aspects of the job. -Bachelor’s Degree or equivalent work experience required. -Hybrid to our NYC office; 3x week onsite. What We Offer • Private Company – Being a private organization allows us to move quickly so that we can deliver our best for our teams and our clients., • Flexibility – We have a hybrid work environment and a flexible PTO plan that allows teams to take time off when they need it., • Competitive Benefits and Salary – Multiple options for health plans based on your and/or your family’s needs, plus a 401(k) match and paid parental leave. The annual salary range for this role in the NYC market is $100k - $115k in base pay, and the base pay offered will be determined on a case-by-case basis based on experience, skills, training, certifications, education, etc., and will be informed by market data. Manifest is proud to be an Equal Opportunity Employer. Manifest recruits qualified applicants without regard to race, color, religion, gender, age, ethnicity, national origin, protected veteran status, physical or mental disability, sexual orientation, genetic information, gender identity, marital status, pregnancy, citizenship status, or any other protected groups covered by federal, state or local laws.

Employment Type: Full-Time Comp: $25-$35 DOE This firm combines cutting-edge technology with a commitment to quality, delivering a smooth and reliable vaping experience. Our sleek device and premium pods—DNA, EXOTICS, and LIVEST—are designed for both newcomers and seasoned enthusiasts. As one of California’s top cannabis vape brands, we’ve built trust through consistent growth, partnerships with over 650 retailers, and expansion into four U.S. territories. Our proprietary battery technology, along with our dedication to clean, high-quality products that exceed industry standards, ensures an unmatched experience. Our mission is to redefine the cannabis experience with innovation, community engagement, and responsible consumption, fostering trust and connection every step of the way. Role Description They are seeking a Social Media Coordinator to join our team in Los Angeles, CA. This is a full-time, in-office position that requires creativity, strategic thinking, and a passion for digital storytelling. The Social Media Coordinator will play a key role in shaping our online presence, creating engaging content, managing campaigns, growing our digital audience, and building relationships with our community across multiple platforms, including Instagram, Facebook, Twitter (X), YouTube, Discord, Reddit, Hoo.be, and TikTok. This role is ideal for someone who thrives in a fast-paced, innovative environment and understands cannabis culture, social media trends, and digital marketing strategies. Responsibilities Content Creation & Social Media Management • Develop, schedule, and publish engaging, on-brand content across Instagram, Facebook, Twitter (X), YouTube, Discord, Reddit, Hoo.be, and TikTok., • Work closely with the creative team to produce high-quality graphics, videos, reels, and interactive media tailored to each platform., • Monitor and leverage trending content, memes, and cultural moments to create timely and viral-worthy posts., • Assist in user-generated content (UGC) strategies to enhance brand authenticity. Community Engagement & Growth • Actively engage with followers, responding to direct messages, comments, and brand mentions in a timely, brand-appropriate manner., • Monitor discussions on Discord and Reddit, engaging with the community and moderating conversations., • Identify and collaborate with influencers, brand ambassadors, and content creators to expand reach and engagement. Social Media Strategy & Analytics • Track and analyze performance metrics across Instagram, Facebook, Twitter (X), YouTube, Discord, Reddit, Hoo.be, and TikTok, providing actionable insights., • Prepare and present quarterly metric decks that analyze social media performance, engagement trends, and content effectiveness., • Assist in developing content calendars, campaign rollouts, and activations to align with marketing goals., • Research industry trends, audience demographics, and competitor strategies to optimize engagement and growth. Event Coverage & Live Social Content • Capture real-time content at brand activations, festivals, pop-ups, and in-store events to share across platforms., • Work with the photo and video team to ensure high-quality event coverage., • Utilize Instagram Live, TikTok Live, and YouTube Shorts to engage audiences during events. Qualifications • Must be based in NYC and able to work in-office five days a week., • One to three years of experience in social media management, digital marketing, or content creation., • Strong understanding of Instagram, Facebook, Twitter (X), YouTube, Discord, Reddit, Hoo.be, and TikTok algorithms, trends, and best practices., • Experience in social media content creation, including short-form video editing (TikTok/Reels), static graphics, and engaging copywriting., • Familiarity with content scheduling and analytics tools (Meta Business Suite, Metricool, Sprout Social, etc.)., • Ability to track performance and compile quarterly social media metric decks with insights and recommendations., • Proficiency in Microsoft Outlook and other organizational tools., • Ability to multitask, prioritize deadlines, and work independently in a fast-paced environment., • Strong writing and communication skills, with the ability to craft engaging captions and brand messaging., • A self-starter with excellent organizational skills and attention to detail., • Passion for cannabis culture, streetwear, music, and pop culture trends is a plus., • Bachelor’s degree in Marketing, Communications, or a related field. Preferred Skills • Experience with video editing tools (CapCut, Adobe Premiere, Final Cut Pro)., • Familiarity with graphic design tools (Canva, Photoshop, Illustrator)., • Prior experience in influencer marketing and brand collaborations., • Experience in Microsoft / Outlook Perks & Benefits • Competitive salary based on experience, • Medical, dental, and vision benefits, • Product discounts and exclusive merch, • Access to industry events, festivals, and activations, • Creative, fast-paced, and fun work environment

Company Description We have an internet for money - but still can't tell real companies apart from fake ones. Cobalt ID is building the business identity infrastructure for the financial internet. While others focus on consumers, we separate real companies from synthetic ones. With AI accelerating fraud rings and shell companies at global scale, distinguishing a legitimate business from a sophisticated fraudster is now one of the hardest problems in fintech. We’re mapping 100M+ businesses and counting to expose hidden financial crime networks and ensure real businesses are never left out of the financial ecosystem. Role Description As Chief of Staff, you’ll partner directly with the CEO and drive execution across Cobalt’s highest-priority initiatives. This is a high-trust operator role for someone who thrives in ambiguity and owns critical initiatives end-to-end. Ideal for someone who wants broad exposure to company-building and the chance to operate at the center of a fast-moving startup. This is a full-time on-site role located in New York, NY. What you'll do: • Partner with the CEO on product strategy, roadmap shaping, and identifying growth opportunities for the company, • Drive GTM initiatives: enterprise pilots, partnerships, pricing experiments, and sales process design, • Analyze quantitative and qualitative data to refine product requirements and measure impact, • Support hiring efforts, investor communications, and strategic narrative building Base Qualifications • 3-5 years of experience in a fast-paced environment, ideally with experience in product and/or growth, • Proven ability to manage multiple workstreams, learn quickly, and execute independently, • Strong written and verbal communication - you’re a persuasive storyteller, • A passion for rapidly adopting and operationalizing bleeding-edge AI tools, • Deep excitement for impossibly hard problems and early-stage ambiguity, • A founder’s mindset: you embrace ownership, roll up your sleeves to execute, and operate well without a playbook Preferred Qualifications • Experience in product management, UX thinking, and a strong analytical foundation, • Experience building workflows with AI and GTM tools like Claude code, Attio, and Clay, • Experience with enterprise sales, building or managing a CRM, and getting creative about growth initiatives, • You’re keen to be a founder one day, but also keen to grow with the company - this role is the ultimate training ground. The Team: We’re a small, tight-knit, and highly technical team. Our founders and early team members come from Waymo, Google, Meta, Brex, and Virtu Financial. We value technical depth and curiosity, low ego, and fast execution. We’ve partnered with investors who understand the plumbing of the global financial system. We recently raised a round led by Nyca Partners, with participation from operators who built the modern fintech stack at Ramp, Plaid, and Brex.

About Kinetic Brands Unconventional brands for unconventional people. Kinetic is a full-stack brand incubator owning a portfolio of digital brands. The brands we build are the opposite of basic. Each brand has a distinct identity, memorable product, and cult following. Through our full-stack infrastructure (meaning we manage everything in-house–including fulfillment, supply chain, R&D, marketing, and development), we can go first to market with any brand concept and create something truly bespoke that stands out even in the most crowded of industries. About the Role At Kinetic Brands, we are passionate about creating exceptional products and experiences that resonate with our community. We are seeking a talented Content Producer to join our in-house creative team and own the execution of monthly product launch deliverables. This role is hybrid, with weekly photoshoots and creative collaboration in our New Jersey office. In this role, you will lead the execution of content across photo, video, design, and performance marketing, owning video editing and storytelling for high-impact campaigns while ensuring all assets meet a high standard of quality and brand consistency. You will contribute to creative concepting for launches and paid media, translating strategic direction into effective execution in partnership with the Creative and Art Director, while also guiding content producers and freelancers through feedback and QA. You’ll support photoshoots from planning through on-set execution, including second shooting, and drive performance marketing creative through ongoing testing and iteration. With a strong focus on efficiency, you will continuously improve workflows, file organization, and production processes to elevate both output and team performance. If you’re ambitious, detail-oriented, and excited to contribute to a fast-moving creative team within an established and passionate community, we’d love to hear from you. You will • Lead execution of content across photo, video, design, and performance marketing, • Own video editing and storytelling for high-impact campaigns and ads, • Oversee and elevate retouching, design, and final asset quality, • Concept and contribute creative ideas for launches, ads, and campaigns, • Partner closely with Creative/Art Director to translate strategy into execution, • Guide content producers and freelancers (feedback, direction, QA), • Support photoshoots with planning + second shooting (photo/video), • Drive performance marketing creative (Meta ads, testing variations, iteration), • Improve workflows, file organization, and production efficiency You have • BA or equivalent in relevant field, • 5+ years of relevant experience in content creation, creative production, or digital marketing, • Experience working in an e-commerce or direct-to-consumer environment, • A strong portfolio demonstrating high-quality visual execution, with an emphasis on video, storytelling, and brand consistency, • Excellent time management and prioritization skills with the ability to manage multiple projects and deadlines simultaneously, • Strong collaboration skills and the ability to work cross-functionally with creative and marketing teams, • Experience leading or guiding creative work, including providing feedback and direction to team members or freelancers, • Hands-on experience with Shopify, including product listing management and merchandising, • Advanced proficiency in Adobe Creative Suite and Google Workspace, with strong video editing capabilities, • Experience developing content for performance marketing channels (Meta, TikTok, paid social), • Experience supporting or leading photoshoots, including photography and videography (second shooting or capture experience), • Exceptional attention to detail and a strong eye for visual quality and brand execution, • A proactive, solution-oriented mindset with the ability to take ownership, give direction, and continuously improve Bonus points • Strong awareness of internet culture, social media trends, and digital communities, • UX/UI experience (desktop and mobile) Perks • Healthcare You Can Count On – Competitive medical, dental, and vision plans to keep you covered when it matters most., • Unlimited PTO – Take the time you need—we trust you (plus, we require a minimum!)., • Paid Parental Leave – 12 weeks paid + 4 weeks eased return to work. Family first!, • 401k Match – We match 4% to help grow your future., • Monthly Home Office Stipend – We cover part of your phone or internet bill., • Employee Discounts – Big savings on our products, just for you! Work environment • Hybrid: This role requires on-site work at our Passaic, NJ office 2-3 days a week. Kinetic Brands is an equal opportunity employer — we believe being successful is directly tied to creating a collaborative, diverse, and inclusive environment.

About Proximo Spirits Proximo Spirits is a global leader in premium and craft spirits, home to iconic brands including Jose Cuervo®, 1800® Tequila, Kraken® Rum, and Bushmills® Irish Whiskey. We are driving growth through bold innovation, entrepreneurial energy, and a relentless focus on commercial excellence. Position Summary We are seeking a data-driven Social Media Analyst to turn audience behavior across social platforms into actionable insights. The role will support the monthly reporting across the full Proximo Spirits portfolio organic and paid performance, analyzing competitive activity and proactive social listening to uncover insights. The ideal candidate doesn’t just deliver reports, they deliver answers and solutions. Must have experience working with social media reporting tools (ie. BrandWatch, Meltwater, Hootsuite). Role & Responsibilities • Data Analysis & Reporting: Monitor and analyze KPI’s like reach, impressions and engagement rate across social channels. Create and maintain dashboards for the marketing team., • Performance Optimization: Analyze organic and paid performance to identify what’s driving performance., • Competitor Benchmarking: Analyze competitor’s social media to identify what’s working and key opportunity areas, • Social Listening & Trends: Monitor online conversations and trends to keep us ahead of the curve, • Ad Hoc Analyses: Conduct deep-dive reporting to answer specific business questions, • Collaboration: Partner with the brand marketing and content teams to refine content strategies based on data. Key Competencies • Analytical Tools: Proficiency in native platforms (ie,. Meta Business Suite) and social analytics tools (ie. BrandWatch, Meltwater, Hootsuite)., • Data Interpretation: Able to see stories and create recommendations out of large datasets, • Curiosity: Passion for social media and naturally inclined to dig deeper to understand the “why” Key Relationships • Internal: Marketing teams, • External: Agency Partners Knowledge and Experience • Candidate must have a minimum of 4 years in social media analytics, digital marketing or a related data-heavy role, • Passionate about social media & trends, and conversations in spirits, cocktails, and culture., • Demonstrate the ability to thrive in an entrepreneurial, fast-paced, and dynamic environment and be able to manage multiple projects., • Ability to translate data into clear insights, • Detail-oriented with the ability to deliver timely reports, • Experience with social listening tools (ie. BrandWatch, Meltwater, Hootsuite). This position is compensated at an hourly rate of $47.00–$57.00, with full‑time hours (40 hours per week). The range will vary if outside of this location. Salaries are determined during our interview process, by assessing a candidate’s experience and skill set against internal peers and against the scope and responsibilities of the position. Proximo is an equal opportunity employer and does not unlawfully discriminate against employees or applicants for employment based on race, color, sex (including pregnancy), sexual orientation, gender identity or expression, religion, national origin, citizenship status, age, genetic information, physical or mental disability of an otherwise qualified individual, membership or application for membership in a uniformed service, engaging in legally protected activity, or any other characteristic protected under applicable law.

Scale AI's Public Sector business is growing quickly as government agencies adopt AI to support critical national security, defense, and public sector missions. We're looking for a hands-on Field Engineering Manager on the front lines leading a team of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. This role is ideal for someone who thrives in technical environments, enjoys managing teams while staying close to the code, and wants to work on meaningful problems that impact real world operations across the U.S. government. Field Engineers are software engineering generalists who enjoy working with clients directly, taking ambiguous requirements and issues, and quickly designing and building production-grade solutions in close collaboration with the Product, Engineering, and Delivery teams. Field Engineers are experts on Scale's products and codebase, and have general technical knowledge on GenAI systems, APIs, networking, and data engineering. Field Engineers are strong relationship builders, great project managers, and always fun to work with. You'll play a critical role in delivering technical solutions-all while helping your team grow and execute. You'll split your time between technical planning and execution (50%) and people management and team development (50%), leading a team of 6-8 engineers. You'll work cross-functionally with product, engineering, security, and delivery teams to ensure our engineering efforts meet complex federal compliance, security, and performance needs. Day to day: • 50% Field engineering - customer engagement, technical development and delivery, • Recruit a high-performing engineering team., • Drive engineering productivity. Provide guidance, mentorship, and technical leadership to a team of customer facing engineers working on Generative AI projects., • Collaborating with cross-functional teams to define, design, and execute strategic roadmap based on customer needs., • Work directly with customers to understand their problems and translate those into custom workflows within Scale's platform., • Be open to ~25% travel or relocation to a key customer geographic location., • Collaborate with cross-functional teams to define the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments., • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back., • Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions., • Lead end-to-end technical delivery of custom workflows from scoping to development to testing to implementation, • 5+ years of full-time engineering experience, post-graduation., • 2+ years of prior engineering management or equivalent experience and previously managed an engineering team., • Track record of success as a hybrid customer facing engineer, forward deployed software engineer, and ability to quickly adapt to different roles., • Prior experience developing with Python and JavaScript, or other modern software languages., • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus., • Linux experience: Understanding of shell scripting, operating systems, etc., • Networking experience: Understanding of networking technologies, configuration (ports, protocols, etc) is a plus., • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles., • Understand unique DoD and USG constraints when it comes to technology. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$273,700—$341,550 USD Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$238,050—$297,850 USDPlease reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado, Hawaii is:$213,900—$267,950 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency. • Define technical strategy for agentic guardrails, explainability, and fleet orchestration., • Ensure system reliability and performance across multiple security classifications and network types., • Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance., • Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members., • Influence the long-term product strategy and technical roadmap for the Federal business unit., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding AI models and systems. Building on this expertise, Scale Labs has launched a new team focused on policy research, to bridge the gap between AI research and global policymakers to make informed, scientific decisions about AI risks and capabilities. Our research tackles the hardest problems in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. This team collaborates broadly across industry, the public sector, and academia and regularly publishes our findings. We are actively seeking talented researchers to join us in shaping this vision. As a Research Scientist focused on AI Controls and Monitoring, you will design methods, systems, and experiments to ensure that advanced AI models and agents remain aligned with intended goals, even in high-stakes or adversarial environments. For example, you might: • Develop monitoring techniques and observability methods that track AI behavior in real time to identify and flag deviations, emergent capabilities, or anomalous outputs;, • Research mechanisms for layered control, including fail-safes, oversight protocols, and intervention methods that can halt or redirect AI systems when risks are detected;, • Design red-team simulations to probe weaknesses in oversight and control mechanisms, and build mitigations to close identified gaps;, • Commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry as frontier AI capabilities continue to advance., • Practical experience conducting technical research collaboratively. You should be comfortable designing control and monitoring experiments for AI systems, building prototype systems, and quickly turning new ideas from the research literature into working prototypes., • A track record of published research in machine learning, particularly in generative AI., • At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development., • Experience with runtime monitoring, anomaly detection, or observability for ML systems., • Familiarity with AI control or alignment research (e.g., scalable oversight, interpretability, debate). Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$197,400—$246,750 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. Our Approach As part of the interview process, you'll be considered for opportunities across several teams within the GenAI Engineering organization, based on your interests, expertise, and business needs. Potential team placements include Allocation, Growth, Frontier Data, Trust & Safety, Pay, Operator, or Tasking Experience. Together, these teams power Scale's AI data operations - from building high-impact datasets that push the boundaries of LLM capabilities, to optimizing contributor onboarding and incentives, to safeguarding data integrity through advanced trust, safety, and security measures. They work at the intersection of ML, operations, and analytics to ensure we deliver the highest-quality data at scale. • Design, build, and maintain robust, scalable systems across the full stack, including front-end, back-end, and infrastructure layers, • Implement high-impact features using modern technologies such as TypeScript, React, Node.js, MongoDB, Elasticsearch, and Temporal, • Collaborate closely with internal operators (your users are your neighbors) to identify bottlenecks and ship fast, pragmatic solutions, • Own core systems critical to our contributor platform, with direct impact on Scale's GenAI data pipeline and business outcomes, • Architect and scale infrastructure capable of handling millions of tasks per week with high reliability and low latency, • Partner cross-functionally with ML teams, Forward Deployed Engineers, and Product to ensure data quality and operational excellence, • Contribute to a strong engineering culture while setting best practices for teammates through mentorship, code reviews, and process improvements, • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Frontier Data team builds the data and systems that power Scale's most advanced Frontier AI use cases (agentic capabilities like coding agents, tool use, and GUI / computer-use automation). Our work sits at the intersection of applied AI and robust backend engineering: we turn messy, ambiguous problems into scalable platforms and pipelines that reliably produce high-quality outcomes. We're looking for a Senior Backend Engineer who thrives in ambiguity, moves fast, and enjoys tackling daunting challenges - someone who can design and build scalable systems while partnering closely with research, product, operations, and other engineering teams. • Own major backend systems for frontier agentic data products, driving projects from early exploration through production deployment., • Build scalable services and pipelines that support agent workflows (e.g., coding, tool-use orchestration, GUI/computer-use tasks), with strong reliability and observability., • Architect modular, reusable backend systems that adapt to evolving product needs while maintaining scalability, reliability, and clean interfaces., • Operate in high-ambiguity environments: break down open-ended problems, propose approaches, and execute with speed and clarity., • Partner cross-functionally with product, research/ML, and infrastructure teams to define requirements and ship impactful systems., • Improve system performance and cost efficiency through thoughtful architecture, profiling, and iterative optimization., • Raise the engineering bar through design reviews, code reviews, and pragmatic best practices., • 5+ years of full-time software engineering experience (post-graduation)., • Strong backend engineering fundamentals: distributed systems, API design, data modeling, and production reliability., • Strong experience with Docker and containerized development/production environments (building images, debugging, and operating container-based services., • Demonstrated ability to ship quickly in ambiguous, fast-changing environments (high-growth startup experience is a plus)., • Experience building systems that scale: queues, async processing, workflow engines, data pipelines, or similar., • Comfort working close to AI/ML systems (production experience welcome; curiosity and strong fundamentals also valued)., • Proficiency with SQL and modern database-backed application development. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$216,200—$270,250 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Who we are: Nitra's mission is to build a more efficient healthcare system and the technology that makes it possible. Our goal is to provide an ecosystem of fintech and software solutions that help doctors better manage their practices, so they can have time back to focus on what matters to them most. We operate with urgency, intensity, and ambition. The bar is high because the opportunity is massive. We expect excellence, ownership, and intellectual rigor from every team member. We move fast, make bold decisions, and hold ourselves accountable to results. At the same time, we believe great companies are built on trust and respect. Every voice matters. Every contribution counts. When we win, we win together. We are scaling rapidly and on a clear trajectory toward becoming a unicorn this year — and beyond. Our growth is not accidental; it’s the result of disciplined execution, relentless focus, and a team that refuses to settle. We are building a category-defining company, and we’re looking for people who want to do the most meaningful work of their careers. If you want comfort, this isn’t the place. If you want impact, ownership, and the chance to help build a generational fintech company, welcome. Nitra was created by unicorn founders who have successfully scaled to thousands of customers and exited $1B+ public offerings. They are joined by an ambitious and experienced team from American Express, Citi, PayPal, Capsule, Plaid, Bloomberg, Meta, Facebook, and Mastercard. The team is backed by some of the world’s leading VCs (Andreessen Horowitz, NEA, etc.) and is supported by an expert group of advisors including the cofounders of Square and Xendit, executives from Intuit, former Governors, White House senior staffers, and a co-founder of CityMD. Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day. We're looking for: • We are seeking an Account Executive located in either the DC or NYC area for a 100% in-person role. This individual will collaborate closely with our team to identify and qualify leads, initiate engaging conversations with potential clients through extensive cold calling, and play a pivotal role in expanding our customer base., • The position features a base salary with the potential to earn equity and commission, offering the opportunity to exceed 100% of the base salary. It presents an excellent chance to gain insight into the sales process, hone essential communication abilities, and make significant contributions to our company's growth and success. Your responsibilities will include: • Conduct cold outreach via phone calls, emails, and in-person meetings to initiate contact with prospects and introduce our products/services., • Attending conferences to actively engage with industry peers and prospects, leveraging networking opportunities and insightful discussions to close valuable sales leads., • Collaborate with the Sales team to create and execute strategies for lead generation and customer acquisition., • Execute compelling product demonstrations to effectively convert prospects into loyal customers., • Continuously build a target prospect list of healthcare professionals and qualify leads through various channels, including online research, networking, and cold outreach., • Educate healthcare professionals on Nitra's offering., • Qualify leads by understanding their needs, challenges, and buying behavior to determine potential fit with our offerings., • Assist in maintaining accurate records of interactions, sales activities, and customer information using CRM software., • Collaborate with the sales team to develop sales pitches, presentations, and materials tailored to different customer segments. You have: • Proven experience in cold calling potential clients/customers to generate leads and initiate sales conversations., • 2+ years of experience in sales, with a demonstrated ability to effectively engage in cold calling activities and drive lead conversion and sales growth., • A bachelor's degree in business administration, marketing, or a related field (preferred, but not mandatory). Background as a college athlete is plus., • Strong interpersonal and communication skills with a confident and professional demeanor., • Self-motivated individual with a passion for sales and a desire to learn about the industry., • Ability to work independently and collaborate effectively within a team-oriented environment., • Detail-oriented with excellent organizational and time management skills., • Proficiency in Microsoft Office Suite and familiarity with CRM software is a plus. We offer: • Equity - Everyone at Nitra is an owner. When the company wins, you win, • Competitive Salary - You’re the best of the best, and your salary will reflect your experience and reward your contributions to Nitra, • Health Care - Your health comes first. We offer comprehensive health, vision, and dental insurance options., • Retirement Benefits - Your financial stability matters to us so we provide a generous employer 401K match, • Nitra maintains a hybrid work policy, with team members working from the office four days per week and Wednesdays designated as a work-from-home day. Nitra values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnicity, national origin or ancestry, gender, race, religious beliefs, disability, sex, sexual orientation, age, veteran status, genetic information, citizenship, or any other characteristic protected by law. The base salary range for this full-time position is $70k - $90k + equity + benefits. For on-target-earnings (OTE), the pay range is $160k - $180k. This OTE range includes both base salary and target incentive compensation. Target incentive compensation compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Our salary ranges are determined by role, level, and location. The range displayed reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed reflect the base salary only, and do not include bonus, equity, or benefits. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

General Manager, Direct-to-Patient Extension Health / EHRX — New York City (In Person) | Full-Time OTE $180K - $230K About Extension Health & EHRX Extension Health is NYC's premier longevity medical center, an all-under-one-roof platform for personalized healthspan optimization, offering the most advanced diagnostics and advanced therapeutics available today. Founded by Dr. Jonathann Kuo, MD, our physician-driven team has helped 50,000+ patients take control of their health and longevity across our West Village and Midtown flagship locations. EHRX is our fast-growing telehealth brand, bringing compounded prescription peptide therapy directly to patients nationwide. LegitScript Certified, 503A pharmacy-backed, and physician-led, EHRX is building a rigorous, accessible model for direct-to-patient care. We're building something rare: a clinically credible brand with serious digital infrastructure. This is a significant leadership opportunity to own the direct-to-patient business across both brands. The Role We're looking for a commercially driven General Manager to own and grow our direct-to-patient business across Extension Health and EHRX. This is a true GM role. You'll hold full P&L responsibility, set the revenue strategy, and build the team and systems needed to scale. You are not a functional specialist. You're a builder and an operator who knows how to drive revenue, move fast, and make smart decisions with imperfect information. You understand that the best direct-to-patient health businesses win on trust, product, and conversion, and you know how to optimize all three. This role reports directly to the CMO / VP of Revenue/Growth and works closely with the clinical and marketing teams. What You'll Own • Full P&L responsibility for direct-to-patient revenue across Extension Health and EHRX, with clear quarterly and annual targets, • Revenue strategy and execution, from traffic acquisition and conversion rate optimization to retention, LTV, and subscription growth, • EHRX growth, scaling the telehealth business nationally, including channel strategy, patient acquisition, funnel optimization, and new treatment launches, • Extension Health online pharmacy, optimizing our online pharmacy for patients and members, • Go-to-market leadership, owning product launches, promotional calendars, and pricing strategy for EHRX, • Paid media and performance marketing, either managing directly or overseeing an agency/internal team across Meta, Google, and emerging channels, • Technology and operations, owning the direct-to-patient stack, conversion funnel, and telehealth patient journey from first click to first shipment, • Team building, hiring and developing a high-performance team as the business scales, • Reporting and accountability, weekly revenue reporting, forecasting, and clear-eyed analysis of what's working and what isn't What We're Looking For • 6-10 years of experience in DTC, digital health, or direct-to-patient businesses, with at least 2-3 years in a senior leadership or GM-level role, • A track record of hitting revenue targets and growing an online business, not just managing one, • Experience with DTC performance marketing. You understand CAC, LTV, payback periods, and how to build a profitable acquisition engine, • Familiarity with telehealth, healthcare ecommerce, or regulated consumer health products is a strong plus, • Operator mentality. You build systems, hold people accountable, and stay close to the numbers, • Comfortable in a founder-led, fast-moving environment where the strategy evolves and execution has to keep pace, • Strong commercial instincts. You think about margin, pricing, and unit economics, not just top-line growth, • Excellent communicator and cross-functional collaborator. You'll work closely with the clinical, marketing, and operations teams Nice to Have • Experience scaling a subscription or membership-based health or wellness business, • Familiarity with Shopify, telehealth platforms (e.g., Qualiphy), or compounding pharmacy workflows, • Background in peptide therapy, regenerative medicine, or longevity/wellness categories, • Knowledge of FDA/FTC compliance considerations in digital health marketing, • Experience managing or working alongside a licensed clinical team What We Offer • Competitive base salary commensurate with experience, plus performance bonus tied to revenue goals — in compliance with NYC salary transparency requirements, a specific range will be provided to all candidates who advance to the screening stage, • True ownership of a high-growth P&L with the backing of an established, physician-led brand, • A seat at the leadership table of one of the most exciting health and longevity companies in the country, • The chance to build a national direct-to-patient business on top of a clinically credible, trusted foundation, • A collaborative, mission-driven team environment To Apply: Send your resume and a brief note on why you're the right person to lead this business to

Marketing Manager (Paid Media) Extension Health — New York City (In Person) Full-Time | $65,000–$80,000/year About Extension Health Extension Health is NYC's premier longevity medical center — an all-under-one-roof platform for personalized healthspan optimization. We offer the most advanced diagnostics and breakthrough therapeutics available today, including peptide therapy, regenerative medicine, hyperbaric oxygen therapy, NAD+ IV infusions, therapeutic plasma exchange, and more. Founded by Dr. Jonathann Kuo, MD, our physician-driven team has helped 50,000+ patients take control of their health and longevity. We're growing fast and building the team to match. The Role We're looking for a data-driven Paid Media Marketing Manager to own and scale patient acquisition across Meta and Google for Extension Health's West Village and Midtown locations. You'll manage campaigns end-to-end — from strategy and audience building to creative briefing, optimization, and reporting — working closely with our external agency and internal leadership to hit booking targets and grow efficiently. What You'll Do • Own paid media strategy and day-to-day execution across Meta (Facebook/Instagram) and Google Ads, • Manage campaign structure, audience segmentation, bidding strategy, and budget pacing, • Brief and collaborate with creative to develop high-performing ad concepts and copy, • Monitor performance daily and make data-driven optimizations to improve CPL and ROAS, • Build and maintain weekly paid media reporting — translating data into clear insights and recommendations, • Work with the external agency to align on strategy, review deliverables, and manage timelines, • Identify new paid channels and growth opportunities (YouTube, TikTok, programmatic, etc.), • Ensure all ad creative and landing pages are HIPAA-compliant and aligned with LegitScript standards, • Support campaign builds for new service launches, seasonal promotions, and membership acquisition What We're Looking For • 3–5 years of hands-on paid media experience, with demonstrable Meta and Google Ads expertise, • Strong analytical mindset — comfortable in Ads Manager, Google Analytics, and spreadsheets, • Experience managing meaningful monthly ad budgets ($30K+/month), • Solid understanding of conversion tracking, pixel setup, and attribution, • Experience briefing creative for paid social — you know what makes an ad stop the scroll, • Comfortable working in a fast-moving, founder-led environment where priorities shift, • Genuine interest in longevity, health optimization, or functional medicine is a big plus Nice to Have • Experience running paid media for a healthcare, wellness, or medical brand, • Familiarity with HIPAA-compliant advertising and Meta's health & wellness ad restrictions, • Experience with LegitScript certification or healthcare ad compliance, • Knowledge of landing page optimization and CRO principles, • Exposure to CRM or lifecycle marketing tools What We Offer • $65,000–$80,000 base salary, commensurate with experience, • The opportunity to grow with one of NYC's most exciting health and longevity brands, • A front-row seat to the future of preventive and regenerative medicine, • Collaborative, mission-driven team environment To Apply Send your resume and a brief note on why you're interested to

At Scale, we develop reliable AI systems for the world's most important decisions. The Brand Experience manages all aspects of Scale's brand, including the company's front door ___. It's often a prospect's first real experience with our brand and what we build. The Web Experience Manager will lead our small team of developers and designers, and take full ownership of the strategy, operations, and quality of our digital presence. This role sits at the intersections of brand, engineering, marketing, and design. You'll translate priorities from cross-functional teams into a clear roadmap, hold a high bar for quality, expertly leverage modern AI web tools, and make sure the team has the clarity and support they need to do their best work. You're a people-first leader with enough technical depth to make good calls quickly. You will: Lead the Team • Own the web roadmap by maintaining, prioritizing, and communicating clearly so the team is always working on what matters most, • Manage and develop a lean team of web developers and designers by supporting career growth, handling resource allocation, and proposing and scoping new initiatives, • Own the quality of everything that ships by building the testing and review framework, managing deployments, and setting the standard for what "done" means, • Design and run the planning around urgent issues; set clear response-time SLAs for site performance and internal support requests and hold to them, • Build the systems to keep marketing sites secure, performant, and compliant 24/7, • Oversee Scale's integrations on web properties by monitoring for performance, output quality, and consistency, • Manage relationships with web vendors, internal security, and IT teams, • 4+ years in web management, digital operations, or a related field, including direct people management, • Technical fluency: You're comfortable in conversations about architecture, deployment pipelines, or front-end frameworks, even if you're not writing the code, • Experience managing AI integrations or APIs: genuine curiosity about how the underlying models work, • Operational instinct: you keep clean documentation, run tight sprint cycles, and treat QA as a feature, not a chore, • Calm under pressure: You're the person who steadies the team when something breaks About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale's ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! • Build, profile and optimize our training and inference framework, • Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation, • Research and integrate state-of-the-art technologies to optimize our ML system, • Strong excitement about system optimization, • Experience with multi-node LLM training and inference, • Experience with developing large-scale distributed ML systems, • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills and the ability tooperate in a cross functional team environment, • Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$218,400—$273,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various environments. The ideal candidate combines strong ML fundamentals with deep expertise in backend system design. You'll work in a highly collaborative environment, bridging research and engineering to deliver seamless experiences to our customers and accelerate innovation across the company. • Build and maintain fault-tolerant, high-performance systems for serving LLMs workloads at scale., • Build an internal platform to empower LLM capability discovery., • Collaborate with researchers and engineers to integrate and optimize models for production and research use cases., • Conduct architecture and design reviews to uphold best practices in system design and scalability., • Develop monitoring and observability solutions to ensure system health and performance., • Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment., • 5+ years of experience building large-scale, high-performance backend systems., • Strong programming skills in one or more languages (e.g., Python, Go, Rust, C++)., • Experience with LLM serving and routing fundamentals (e.g. rate limiting, token streaming, load balancing, budgets, etc.), • Experience with LLM capabilities and concepts such as reasoning, tool calling, prompt templates, etc., • Experience with containers and orchestration tools (e.g., Docker, Kubernetes)., • Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform)., • Proven ability to solve complex problems and work independently in fast-moving environments. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers., • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • This role will require an active security clearance or the ability to obtain a security clearance., • Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale AI At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI) and building upon our prior model evaluation work with enterprise customers and governments to deepen our capabilities and offerings for public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we produce is some of the most critical work for how humanity will interact with AI. About Our FDE Team Generating high-quality data is the core problem our business solves. We aim to make producing and delivering high-quality data seamless and efficient for operators and customers. Our Team is building customer and operator-specific infrastructure to provide high-quality data with low turnaround time. You'll be exposed to the cutting edge of the Generative AI industry while directly interfacing with the leading model-building organizations in the space, including the top AI research labs and government agencies. Join us in shaping the future of Artificial General Intelligence. As a Forward Deployed Engineer, you'll be at the forefront of providing the critical data infrastructure that powers the most advanced AI models, directly influencing how humanity interacts with AI. You will work with the world's leading AI companies and government agencies to solve their most complex AI data-related problems. Responsibilities: • Drive Impact: Directly contribute to the advancement of AI by delivering critical data solutions for leading AI innovators and government agencies., • Customer Collaboration: Interact daily with our technical customers, understanding their unique challenges and translating them into impactful solutions., • End-to-End Development: Design, build, and deploy features across the entire stack, from front-end interfaces to back-end systems and infrastructure., • Rapid Experimentation: Deliver high-quality experiments quickly, iterating quickly to meet customer needs and drive innovation., • Strategic Influence: Play a key role in shaping our engineering culture, values, and processes, contributing to the growth of our team and the evolution of our product., • Diverse Projects: Engage in a dynamic mix of designing and deploying cutting-edge data solutions, collaborating with leading AI researchers, and directly influencing the product roadmap. You'll work on everything from large-scale system architecture to customer-facing front-end application design., • At least 2 years of relevant experience is preferred, • Proven track record of shipping high-quality products and features at scale., • Strong problem-solving skills and the ability to work independently or as part of a collaborative team., • Desire to thrive in a fast-paced, dynamic environment., • Ability to turn business and product ideas into engineering solutions., • Strong coding abilities and the ability to effectively communicate complex technical concepts to both technical and non-technical audiences., • Ability to adapt quickly to the ever-changing world of generative AI., • Experience with large-scale data processing and distributed systems., • Familiarity with machine learning and AI concepts., • Experience working directly with enterprise customers. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that's enabled ChatGPT to get such a large headstart among competition. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements., • Collaborate with cross-functional teams to define, design, and deliver new features., • Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades., • Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies., • 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems., • Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.)., • Show a track record of mentoring and leading teams in successful projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings., • Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems., • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI)., • Experience with performance tuning and cost optimizations of cloud based data platforms., • Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale is accelerating the development of AI across the world's most important organizations. The Forward Deployed PM is the person who makes enterprise deployments succeed from the product side - embedded with customers, shaping real production outcomes, and translating messy operational reality into high-signal input for the core platform. This is not a roadmap PM, a CSM, or a solutions engineer. The FDPM owns product outcomes inside a portfolio of enterprise accounts: earning deep trust with senior customer stakeholders, driving deployments to production, identifying where the product is the bottleneck vs. execution, and feeding durable, specific signal back to the platform team. The best FDPMs have shipped products into large organizations and can tell the difference between a customer's stated request, their actual problem, and what the platform should do. • Own product outcomes for our highest impact enterprise accounts. You are the accountable PM for product delivery and customer value., • Build trusted advisory relationships with VP/C-level buyers and senior technical leads. Become the reliable escalation point on the Scale side before issues surface externally., • Drive deployments from contract to production. You have done this before for large organizations. You know what 'production-ready' actually means and you close the gap., • Translate real customer workflows, friction, and priorities into high-signal product input for core platform teams. Not requirements docs - specific, evidence-backed product perspective with tradeoffs articulated., • Distinguish where the product is the constraint from where execution, integration, or change management is. Drive each type of blocker to resolution through the right channel., • Partner closely with FDEs so the account runs as a coordinated team, not a set of parallel workstreams., • Identify and develop expansion opportunities grounded in demonstrated customer value, • Represent customer reality to platform and leadership with enough credibility that it changes decisions., • Enterprise deployment ownership: has driven AI/ML or complex software products from contract to production at scale, with real integration, real security constraints, real change management., • Product judgment in the field: translates customer reality into product direction, not just feature requests; can say no credibly and explain why., • Customer trust-building: earns and maintains trust with demanding senior stakeholders over multi-quarter engagements; manages conflict without eroding the relationship., • Technical translation: bridges the gap between customer engineering teams and Scale platform engineers; does not relay messages, adds interpretation., • Operating in ambiguity: creates structure where there is none; makes decisions with incomplete information; does not wait for fully defined requirements., • Clear, precise communication: adjusts for audience (exec vs. engineer vs. PM); writes and speaks at the right level of detail; does not over-explain or under-explain., • 6+ years in product management, technical program management, or a customer-facing product ownership role., • Demonstrated record of shipping products or platform capabilities into large organizations - not pilots or proofs-of-concept. You can name the customer, the scale, the integration, and what production actually looked like., • Extreme ownership and follow-through: closes loops without reminders, drives outcomes across teams without formal authority, holds self and others to commitments., • Comfortable operating with senior customer stakeholders (VP/C-level) and senior engineers simultaneously; credible presence in high-stakes rooms on both sides., • Strong judgment under pressure: makes good calls quickly with incomplete information, knows when to escalate vs. resolve, does not generate thrash., • Technical fluency sufficient to hold a real conversation with a platform engineer about architectural tradeoffs - not deep coding, but genuine comprehension of how systems work in production., • Direct experience with AI/ML platform products - data labeling, RLHF, fine-tuning workflows, or model evaluation pipelines., • Experience in a startup or early-stage environment where process didn't exist and had to be created. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, we develop reliable AI systems for the world's most important decisions. As Scale's Enterprise Field Marketing and Events team continues to grow alongside our expanding business unit, we seek a talented and motivated Field Marketing & Events Associate to support our Marketing & Communications team in their event and field marketing initiatives. These initiatives include but are not limited to third-party trade show sponsorships, Scale-hosted executive events, Scale-hosted practitioner events and meetups, webinars, and our annual flagship conference, Scale Leadership Summit. You will join a rapidly growing team with the opportunity to support event execution, impact lead generation and pipeline growth, and contribute to event programming with the largest names in AI. The successful candidate will have a solid understanding of marketing principles, strong project management skills, a strategic mindset, and a passion for AI & technology. • Event Planning and Execution:, • Support the execution of global conferences and events, helping coordinate timelines, agendas, sponsorship activations, and on-site or virtual operations, • Support event sponsorship programs by tracking assets, deliverables, and engagement opportunities across events and digital placements, • Support Scale hosted event logistics, including executive dinners, happy hours and customer events, • Coordinate/support Scale's virtual event program (webinars, fireside chats), • Maintain organized event plans, trackers, checklists, and internal documentation to ensure smooth execution and strong visibility across teams, • Partner with Product Marketing and design to help coordinate collateral, signage, digital assets, and other event materials, • Manage deliverables and track progress to ensure projects are delivered on time, • Assist with core operational tasks including invoicing, expense tracking, and budget monitoring, • Marketing Collaboration & Reporting:, • Collaborate cross-functionally with GTM, product marketing, communications, growth marketing, brand, and EPD teams to consistently articulate and share Scale AI's vision and value proposition, • Track event performance and provide detailed recaps, analytics, and recommendations for future optimization, • Travel:, • Willingness to travel up to 40% as required for event execution, • 3+ years of experience in event marketing and marketing campaign management, preferably within the technology sector, • Strong project management skills with the ability to manage multiple projects simultaneously., • Strong vendor management skills, • Previous experience managing third-party relationships and contracts, • Attention to detail and a proactive approach to troubleshooting, • Collaborative and positive attitude, with the ability to work across teams, including executive leadership, • Excellent written and verbal communication skills for interacting with executives and their teams, • Must be punctual, professional, reliable, highly detail-oriented, self-motivated, and results-driven, • Experience with CMS and other sales/marketing platforms (SFDC, Hubspot, Outreach, and virtual event platforms, etc.) About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About Data Engine Our Generative AI Data Engine powers the world's most advanced LLMs and generative models through world-class RLHF (Reinforcement Learning with Human Feedback), human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. About our Billing Team We're looking for entrepreneurial Software Engineers to join our Billing Platform team. In this role, you'll have the opportunity to drive the revenue tracking and billing system for our Generative AI products. You'll be deeply involved in building flexible, new systems to support customer billing use cases, implementing complex billing partitioning schemes based on dynamic criteria, and/or improving customer invoice generation and balance visibility. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. The ideal person is a natural entrepreneurial engineer who can take an ambiguous scope and lead the execution of outcomes, doing what it takes to hit them incl coding, talking to customers, defining requirements, etc. We strongly believe the best engineers own outcomes and deeply understand customer problems. • Design, implement, and operate flexible and accurate financial systems, • Work across backend, frontend, and accounting-related systems, • Deliver at a high velocity and level of quality to engage our customers, • Work across the entire product lifecycle from conceptualization through production, • Be able, and willing, to multi-task and learn new technologies quickly, • Provide critical input in the Billing team's roadmap and technical direction, • Work closely with cross-functional partners like finance, product, software engineers, and operations to identify opportunities for business impact, understand, refine and prioritize requirements for billing schemes and financial infrastructure., • 5+ years of software engineering experience, ideally in high-growth, product-focused environments, • Proven track record of shipping production systems at scale, • Drive reliability and performance across critical infrastructure systems, ensuring our platforms scale predictably and operate with high availability., • Strong technical depth in one or more areas: front-end frameworks, distributed systems, data infrastructure, or developer tooling, • Experience working across the stack, ideally with React, TypeScript, Node.js, Python, MongoDB, Elasticsearch, and/or Temporal, • Strong product sense and ability to translate ambiguous problems into technical solutions, • Comfortable working in a fast-paced, high-ownership environment with a bias toward execution About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Scale, we develop reliable AI systems for the world's most important decisions. Scale's product marketing team is responsible for developing and executing strategies that drive awareness and adoption for Scale's offering. We understand our customers' needs and challenges and ensure that their voices are reflected in product development and messaging. We then partner closely with product, engineering, research, sales, comms, and the broader marketing team to create a cohesive customer experience across all our channels. This role sits at the center of Scale's GenAI data products, which power the world's leading AI labs. As one of the largest providers of high-quality AI training data, we've built our reputation on speed, quality, frontier research, and a growing suite of multimodal data capabilities. The market is evolving fast, and we're looking for a marketer who can go on offense to sharpen our narrative and build a playbook that earns the trust of the AI community. The ideal candidate combines strategic thinking with hands-on execution. 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., • Lead the content and social strategy for ___' dedicated online presence, taking a research-native approach that earns attention and credibility from the AI community., • 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., • 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, • Develop go-to-market strategies for new data offerings and modalities, working closely with product and sales to drive awareness and build market momentum., • 5+ years of experience in product marketing, with a track record of marketing technical products to developer or research audiences., • Strong technical fluency and passion for AI. You can hold a credible conversation about AI/ML fundamentals, training, and the role of data quality in model performance., • Experience building social-native content and community strategies on platforms like X, with an instinct for what resonates with technical practitioners, • Excellent written communication and storytelling skills - you can make complex technical concepts compelling without oversimplifying them., • Familiarity with the AI training data market, or adjacent data and infrastructure spaces., • An existing network or relationships within the AI research community. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About The Team: To help achieve our mission, we are looking for a Recruiting Coordinator to join our team. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Recruiting Coordinators who join today will help schedule and coordinate interviews, provide exceptional candidate experience, and help develop strategies that will scale alongside the new challenges we're facing. Many of our greatest challenges are yet to be solved, and we're looking to hire a Recruiting Coordinator who is excited to tackle them. About the Role: We are looking for a talented Recruiting Coordinator on a 6 Month Contract (with possibility of extension or conversion given further business need). This is a hybrid role (3 days per week in office) based in our New York City office to join our team and participate in the hiring process from beginning to end. You'll be directly working with our hiring partners, recruiters and candidates to create a personal and creative recruiting experience! You will: • Schedule, coordinate, and confirm candidate interviews, handling cancellations and reschedules promptly across multiple time zones, • Collaborate and communicate effectively with recruiters, hiring managers, and business leaders to ensure smooth interview processes, • Create a welcoming and high-touch candidate experience for both virtual and in-person interviews, • 1-2 years of relevant experience; scheduling high volume (100+ interview events a week) and tech industry experience are a plus, • Familiarity with Greenhouse, ModernLoop, or similar ATS/scheduling tools, • A highly organized and process-driven approach to work, ensuring SLAs are met and work is completed efficiently and accurately PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale's LLM post-training platform team builds our internal distributed framework for large language model training. The platform powers MLEs, researchers, data scientists, and operators for fast and automatic training and evaluation of LLMs. It also serves as the underlying training framework for the data quality evaluation pipeline. Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely with Scale's ML teams and researchers to build the foundation platform which supports all our ML research and development works. You will be building and optimizing the platform to enable our next generation LLM training, inference and data curation. If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you! • Build, profile and optimize our training and inference framework., • Collaborate with ML and research teams to accelerate their research and development, and enable them to develop the next generation of models and data curation., • Research and integrate state-of-the-art technologies to optimize our ML system., • Passionate about system optimization, • Experience with multi-node LLM training and inference, • Experience with developing large-scale distributed ML systems, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc., • Strong written and verbal communication skills to operate in a cross functional team environment., • Demonstrated expertise in post-training methods and/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$264,800—$331,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale plays a vital role in the development of AI applications. Our customer base is growing exponentially, and you will be on the front lines, ensuring that the world's most innovative companies become passionate, lifelong Scale customers. Solutions Engineers partner closely with AEs, Product, and MLEs to lead prospective customers through pre-sales, delivering customized demos and pilots to secure the "technical win". Solutions Engineers scope customer technical requirements and develop an actionable SOW. They will work closely with the delivery team to help with initial implementation. Solutions Engineers are relentlessly curious about customer needs and pain points. They employ their expert Scale product knowledge and GenAI knowledge to design solutions that best address these needs. Solutions Engineers are strong relationship builders, great project managers, and provide technical expertise. You will: • Partner with Scale AEs on the customer journey, delivering tailored demos and prototypes according to the customer's requirements., • Develop technical domain expertise in Generative AI / large language model applications for Enterprise use cases, including customers in financial services, insurance, SaaS, and similar enterprises., • Be accountable for securing the "technical win" by unblocking technical challenges, • Interact with customers daily to understand their needs and design solutions to better serve them., • Design and develop "Scopes of Work" by breaking down customer challenges into a project plan, • Work closely with forward-deployed Software and Machine learning Engineers to develop agents in the initial post-sales stage, • Work with AEs and PMs to identify customer-specific feature requests., • Strong engineering background with prior experience working with clients in a pre or post-sales capacity to realize business goals., • Prior experience developing with Python, Java and/or other web development languages., • Experience working in enterprise SaaS, cloud tech, finance, fintech or similar industries in a technical capacity with end-customer engagement., • A track record as a self-starter, motivated to independently unblock technical issues in the field with the customer, away from the mothership., • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers., • High level of comfort communicating effectively across internal and external organizations., • GenAI Experience, • Forward deployed engineering experience About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. We develop novel agentic enabling capabilities that includes: • Create multi-layered guardrails around agents, • Optimize data retrieval for agents, • Orchestrate fleets of asynchronous agents, • Automatically alerts users to deviations in data You will: Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers. • Manage the full lifecycle of feature development from requirement definition to deployment on classified networks., • Direct the orchestration of asynchronous agent fleets to meet mission requirements., • Lead customer engagements to translate mission needs into technical requirements., • Own the communication with stakeholders to ensure implementation meets defined acceptance criteria., • Conduct technical reviews and identify risks within machine learning infrastructure and model serving., • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases, • Cloud-Native Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus, • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles, • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial., • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles, • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

As Scale's product portfolio and customer base expand, we are seeking skilled DevOps Engineers, Public Sector to be at the forefront of building out and enhancing our CI/CD pipelines. You will play a crucial role in streamlining our Software Development Life Cycle (SDLC) through collaborative efforts, moving us from a state of manual, disparate deployments to a more unified and automated system. These engineers will gain a deep understanding of our core products' architecture and composition, enabling them to effectively deploy and manage these systems when needed. A critical aspect of this role will be seamlessly integrating various machine learning (ML) tasks and updates into our SDLC, transforming currently separate ML components into a cohesive and automated workflow. While direct ML expertise is not required, a desire to learn and integrate ML components into the lifecycle is essential. You will: • Design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products., • Collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines., • Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability., • Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles., • Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment., • Document pipeline processes and configurations to ensure maintainability and knowledge transfer., • Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes., • 2-3 years of experience as a DevOps Engineer, DevSecOps Engineer, Software Engineer with a strong focus on CI/CD, or a similar role., • Proven track record of building or significantly enhancing CI/CD pipelines., • Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments., • Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc., • Familiarity with cloud platforms (e.g., AWS, Azure, GCP)., • Strong proficiency in scripting and automation (e.g., Python, Bash, PowerShell)., • Familiarity with various CI/CD platforms (e.g., Jenkins, GitLab CI, GitHub Actions, Azure DevOps)., • Knowledge of software architecture, system design, and version control systems., • Comfort with rapidly changing, fast-paced environments and a passion for finding automated solutions to complex problems., • Basic understanding of security best practices in software development and an eagerness to integrate them., • A hunger for learning new technologies, particularly in the realm of integrating ML into automated workflows., • Strong problem-solving, analytical, collaboration, and communication skills., • Experience with containerization technologies (e.g., Docker, Kubernetes)., • Exposure to machine learning lifecycles or MLOps concepts. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Software is eating the world, but AI is eating software. We live in unprecedented times - AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI. At the foundation of these products is the Platform Engineering team. In this role, you will redefine how engineers develop, build, test, and deploy software at Scale using AI development tools in addition to traditional practices. You'll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies. You will: • Define next-generation AI development tooling and frameworks using products like Cursor, Claude Code, OpenAI Codex, and MS Copilot, as well as in-house custom-built solutions., • Drive the architecture, design, and implementation of our local development process, build, test, continuous integration, and continuous delivery systems, working closely with stakeholders and internal customers to understand and refine requirements., • Directly mentor software engineers ranging from new grads to experienced engineers., • Proactively identify opportunities and drive improvements to software development practices, processes, tools, and languages., • 4+ years of full-time engineering experience, post-graduation, with experience in build, test, or CI/CD systems., • Extensive experience defining and evangelizing best-practices for AI development tools, including cost guardrails, security frameworks, and hosting knowledge-sharing sessions, among others., • Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred)., • Experience configuring, testing, and enabling MCP servers, AI agents, and other associated systems., • Show a track record of independent ownership of successful engineering projects., • Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders., • Experience working fluently with standard infrastructure, containerization, and deployment technologies like Terraform, Docker, Kubernetes, etc., • Experience with modern web frameworks like NodeJS, NextJS, etc., • Experience scaling products at hyper-growth startups. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 9 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent investment from Meta, we are doubling down on building out state of the art post-training algorithms to reach the performance necessary for complex agents in enterprises around the world. The Enterprise ML Research Lab works on the front lines of this AI revolution. We are working on an arsenal of proprietary research, tools, and resources that serve all of our enterprise clients. As an Agent MLRE, you will be working on applying our Agent RL Training + Building algorithms to real life enterprise datasets across our clients + benchmarks. This will involve creating best-in-class Agents that achieve state of the art results through a combination of post-training + agent-building algorithms. If you are excited about shaping the future of the modern GenAI movement, we would love to hear from you! You will: • Train state of the art models, developed both internally and from the community, to deploy to our enterprise customers., • Research cutting edge algorithms to integrate directly into our training stack., • 1-3 years of building with LLMs in a production environment, • Experience with post-training methods like RLHF/RLVR and related algorithms like PPO/GRPO etc., • Publications in top conferences such as NEURIPS, ICLR, or ICML within the last two years About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. • Own major full-stack product areas, driving features from design through production deployment., • Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness., • Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components., • Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences., • Deliver experiments and new features quickly, maintaining high quality and tight feedback loops with customers., • Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP., • Adapt quickly-learning new technologies, frameworks, and tools as needed across the stack., • 5+ years of full-time engineering experience, post-graduation., • Strong experience developing full-stack applications using React, TypeScript, and Python., • Experience scaling or shipping products at high-growth startups., • Familiarity with LLMs, vector databases, embeddings, or other modern AI tooling (tinkering or production experience welcome)., • Proficiency with SQL and modern API development., • Experience with Kubernetes, containerization, and microservice architectures. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.