Brand Ambassador

David creates tools to increase muscle and decrease fat. Our first product is a protein bar. More broadly, David is a platform to develop high-protein, low-calorie, blood-sugar-friendly foods that are craveable. This is a compelling opportunity to be a part of an exciting new food brand as we operate within a critical growth stage. David is led by CEO Peter Rahal, the Cofounder and Former CEO of RXBAR. We have strong aspirations to become the most popular high-protein bar in North America and beyond. Role and Responsibilities: The Retail team at David Protein leads the commercialization of our product portfolio across physical retail. The first class of Strategic Retail Analysts will specialize by channel (e.g., Grocery, Convenience, Club) and will be expected to run their channel end-to-end – owning the business unit, with full P&L responsibility. Reporting to a Strategic Retail Account Manager, you’ll play a critical role in shaping how David scales nationally through its largest revenue engine: in-store retail. What You’ll Own: Channel Leadership: Own the growth and profitability of your retail channel – acting as the General Manager of the business unit. P&L Ownership & Commercial Strategy: Take full ownership of the channel’s P&L. Define and execute the full commercial strategy – including revenue, margin, pricing, pack architecture, and cost structure – across all accounts and regions. Pricing Strategy: Develop and implement a retail pricing framework tailored by format and region (e.g., club, convenience, grocery). Own pack size strategy, defend everyday pricing, and lead the design and negotiation of promotions and in-store activations that drive trial without eroding brand equity. Retail Partnership Negotiations: Pitch and onboard all retail accounts within your channel. Negotiate commercial terms, including: Product pricing, margins, and pack sizes Promotional calendars and sampling frequency SKU assortment and shelf placement Secondary displays and in-store marketing Retail Execution & Performance: Drive performance post-launch by: Forecasting demand by account to inform procurement and production timing – ensuring the right quantities are produced at the right time Monitoring and adjusting inventory levels and order volumes by account to minimize stockouts and maximize on-shelf performance New Product Launches: Lead the retail rollout of every new product in your channel – from pricing and placement to sell-through and performance tracking. Strategic Relationships: Build and maintain long-term partnerships with key retailers and distributors critical to David’s national expansion. Requirements 1 -3 years of relevant experience High intellectual horsepower paired with an accurate work style Strong analytical skills and the ability to turn data into clear, confident decisions Persuasive communication skills with a knack for building relationships – both internally and with retail and distributor partners A bias for speed and autonomy; you operate independently and move fast Humble, self-aware, and curious A desire to build an early-stage CPG company with a mission to create tools to increase muscle and decrease fat Note - we care much more about your attributes than your experience. If you are early in your career, do not be deterred from applying if you feel that you are the right fit Benefits This is a full-time role that will require significant travel, as needed, to retail partners and relevant trade show events. Cash compensation: $90-$110k per year, inclusive of cash bonus based on attainment of company targets. In addition to cash compensation, this role includes a company equity opportunity. 100% covered Health, Vision, Dental Insurance. 401(k). Substantial and required PTO. We work in the office 5 days per week in New York City – when culture lines up, it is fun to be in the office together.

Our client is a pre-seed startup that is building AI agents to watch and understand videos, so humans don't have to. Their platform extracts insights, structures data, and automates workflows from vast video libraries. As a three-person "rocketship," they have already secured a $240K ARR customer within nine months of founding and have raised a $3M pre-seed round. This is a chance to shape the core AI system at a company with massive growth potential. Our client is looking for a Founding Engineer with an AI/ML background to design and orchestrate multi-model AI pipelines for video intelligence. This role offers founding-level ownership, allowing you to shape both the product and the AI foundation. You'll work on cutting-edge problems, with a focus on optimization and productionizing AI systems. You will be responsible for: Architecting workflows for video search, tagging, and agentic systems. Developing evaluation frameworks for accuracy, latency, and cost. Optimizing prompts, embeddings, RAG pipelines, and model fine-tuning. Working with vector databases like Milvus and Typesense. Productionizing systems on cloud infrastructure like GCP and Temporal. Requirements We are seeking a scrappy, high-ownership engineer with a strong background in shipping AI/ML systems in a production environment. The ideal candidate has a genuine curiosity about AI and a willingness to adapt to a fast-paced, chaotic startup culture. Must-Haves: 3–5 years of experience shipping AI/ML systems in production. Experience in an early-stage startup (seed/Series A). Proficiency in Python and the modern ML stack (PyTorch, Hugging Face). Strong skills with LLM/VLM APIs, embeddings, and RAG systems. Experience in self-driving, robotics, computer vision, or video intelligence. Willingness to work in-person, 5 days a week, in San Francisco. Bonus Points: A STEM degree from a top-tier university. Experience with large-scale video intelligence or recommendation systems. Familiarity with vector databases. Benefits Salary: $150,000–$200,000 Equity: 0.5%–1.5% Visa Sponsorship: Available Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

Our client is a Y Combinator-backed startup that is redefining the hiring market with an AI recruiter that conducts live interviews with candidates. They're one of the fastest-growing companies from their recent batch, with over $3.3M in funding and several years of runway. Despite being a small team of 16, they've already conducted thousands of interviews for roles across various industries. This is a rare chance to join a company with massive scope and impact. Our client is looking for a Senior Full Stack Software Engineer to own major systems across both their consumer and enterprise software. This role offers an incredible opportunity to tackle complex, high-impact problems. You'll work on everything from reducing interviewer latency to scaling infrastructure for thousands of simultaneous interviews, all while building out new features for enterprise clients. You will be responsible for: Building and scaling consumer software, including optimizing for low latency and high concurrency. Designing and implementing enterprise software, with a focus on integrations and data visualization. Working with complex data structures, including vector databases for candidate trait queries. Contributing to a rapidly evolving product roadmap. Requirements We are seeking a senior full-stack engineer with a proven track record of excellence from a top university or startup environment. The ideal candidate is a hands-on builder who is comfortable working across the entire stack. Must-Haves: 5+ years of full-stack engineering experience. 2+ years at a successful, fast-growth startup. Experience with React + TypeScript in production environments. Proficiency in Python (asyncio, FastAPI) and SQL. Familiarity with vector databases, embeddings, and semantic search. A strong design sense, with experience using tools like Figma. Willingness to work in-person, 5 days a week, in San Francisco. Bonus Points: DevOps exposure with technologies like Azure, Kubernetes, or Docker. Experience at a company with a top-tier engineering culture. Benefits Salary: $150,000–$250,000 Equity: 0.01%–0.25% Visa Sponsorship: Not available Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city.

This role is for one of the Weekday's clients Min Experience: 3 years Location: San Francisco, US, San Francisco Bay Area JobType: full-time As a Founding Engineer, you’ll play a pivotal role in shaping the core product, engineering culture, and technical architecture from the ground up. This role demands creativity, ownership, and agility to solve complex problems end-to-end while building features that will be used by millions. Requirements What You’ll Do Design and build core product experiences for web and mobile. Tackle challenging problems from start to finish — from intuitive camera interactions to distributed search pipelines or agent frameworks. Collaborate closely with the founding team to define product direction and architecture. Establish engineering best practices, culture, and processes from day one. Application Engineering (Full-stack) Focus Build cutting-edge map-based and interactive user experiences for both mobile and web. Develop with TypeScript and React for web. Work with Swift (iOS) or Kotlin/Java (Android) for mobile platforms. Create delightful, pixel-perfect UIs optimized for performance in rich, dynamic environments. Contribute to backend systems in TypeScript, completing full end-to-end features. Data / AI Engineering Focus Develop the intelligence powering product experiences — including search, agents, pipelines, and scalable data infrastructure. Work with Python and/or TypeScript across data pipelines and backend systems (Snowflake, DBT, Elastic, etc). Build AI-powered agents and applications leveraging LLMs. Handle systems at scale — whether high data volume or request throughput. (Bonus) Apply ML models for user experience enhancements such as media transformation, image tagging, personalization, or fine-tuning LLMs. Skills & Experience TypeScript, ReactJS, React Kotlin, Java, Swift Python Strong foundation in end-to-end feature ownership and system design Ability to work independently on hard technical problems with speed and agility

Position Title: Operator Reports To: Foreman Duties and Responsibilities: · Ability to operate a certain piece of equipment · Grease, oil and do daily maintenance of equipment · Hand dig around existing utilities when necessary · Trained to operate tampers, jackhammers, drills, and saws · Carry and load materials to be used on the job · Follow all company safety policies and practices · Report any equipment repairs needed to Foreman or Supervisor · Light repair and maintenance of tools and equipment · Assist in hauling equipment to and from job site · Clean up and restore work area · Wash and clean vehicles and equipment · Safety training as required by position · Paperwork filing and maintenance as needed · Other duties as assigned Essential Education and Qualifications: · Good verbal communication skills · Must have valid driver’s license · Valid Driver’s License · Valid DOT Health Card Required Skills: · Class A Driver’s License (CDL) Physical Demands: · Must be physically fit to endure the daily activity involved with the job · Must be able to work in all weather conditions · Must be able to lift up to 75 pounds

Job Title: Warehouse Manager **Key Responsibilities:** · Supervise operations of multiple areas' DSPs(Delivery Service Provider), ensuring compliance with company standards. · Develop and enforce quality assurance protocols. · Monitor performance and drive continuous improvement. · Oversee multiple warehouse activities for consistency and reliability including nearby warehouses: (Charlotte，Greensboro，Raleigh). · Coordinate local warehouse deliveries and pick up · Conduct daily control meetings and performance reviews. · Recruit qualified DSPs and provide onboarding. · Design training to improve service quality. · Continuously optimize collection models and processes. · Coordinate with internal teams and external partners. · Handle daily operations and emergency responses. Requirements · Bachelor’s degree or equivalent, bilingual Mandarin required. · Minimum 1 year in last-mile or 3PL warehousing and logistics related experiences. · Strong leadership, analytical, and decision-making skills. · Able to perform under pressure in fast-paced environments. Ready to be part of a growing, innovative team? Explore our current job openings and apply today! We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or any other characteristic protected by law. We will assign different supervisors to oversee various tasks, with on-the-job training provided through a rotational approach Benefits ·         7 PTO days ·         5 Paid Sick Leave Days ·         6 Paid Holidays ·         401K 100% Matching up to 2% ·         50% Medical insurance, 100% Dental and Vision Insurance