Role Description Sleep is one of the most consequential and least solved problems in human health. We're building the science-backed platform that changes that — combining rigorous research with AI to serve everyone from individual consumers to digital health platforms, sleep product manufacturers, payers, and beyond. We're building a marketing function with the same precision we bring to our product, and we're looking for someone to help us do it at scale using AI. This is a builder role sitting inside a growing marketing team, working directly with our CMO. Your first mandate is to architect and operate our outbound engine (cold email, LinkedIn, webinars) and eventually expand into automated content systems that reflect the depth and quality Sleep.ai is known for. You won't be handed a playbook. You'll be expected to write one, iterate on it, and make it smarter over time. What You’ll Do - First 60 days — Own outbound from the ground up: - Build and run our cold email & LinkedIn outreach infrastructure (Clay, Apollo, Instantly/Smartlead, etc.) - Develop enriched, segmented prospect lists across our diverse ICP (digital health platforms, sleep product brands, payers, and more) - Write AI-assisted sequence copy that earns replies, and knows how to speak differently to a health plan vs. a supplement brand vs. a sleep tech founder - Set up tracking and reporting so we're making decisions on data, not instinct - Ongoing and evolving: - Own and continuously optimize the outbound engine: testing, iterating, scaling - Build an automated content pipeline: AI-drafted blog posts, LinkedIn content, and short-form assets that go through human review before they carry our name - Bring new tools and approaches to the table. We expect you to be a step ahead, not catching up. Qualifications - Proven hands-on experience building and running outbound systems — you've written sequences, managed deliverability, and can show us something you shipped - Working command of the modern outbound stack: Clay, Apollo, Instantly or Smartlead, and at least one automation layer (Zapier, Make, n8n) - Strong editorial instincts — you may not be a professional writer, but you read a landing page or a message and immediately know what's off. You have taste, and you're not shy about having a point of view on it - Genuinely AI-native: you're not experimenting with AI, you're building with it week to week - Comfortable operating independently and managing your own priorities Requirements - Background in B2B SaaS, digital health, or wellness - Familiarity with content scheduling or social tools - Experience working across multiple ICPs or verticals Benefits - Direct access and collaboration with our CMO. You'll learn fast and have real ownership. - Work at the edge of what AI can do in marketing, in a company that already thinks rigorously about technology - Flexible, remote, async-friendly, built for someone who does their best thinking and building on their own schedule - A clear path to grow with the company as we scale Company Description Sleep.Ai/SleepScore Labs is a leader in sleep science, research, and digital sleep solutions, helping people sleep better so they can live better. Through science-backed products, strategic partnerships, and personalized insights, Sleep.ai empowers users to build better sleep habits and improve overall well-being.

Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting-Edge Technology across the US Government. Be a part of something special! Responsibilities: - Responsible for developing and implementing AI/ML solutions to solve complex problems and enhance business operations. - Define direction of mission-critical solutions using best-fit AI/ML algorithms and technologies - Work closely with cross-functional teams to design, develop, and deploy AI models and algorithms that enable data-driven decision making. - Conduct statistical analyses using ML techniques for customer-focused solutions - Collaborate with cross-functional teams to deliver world-class solutions for large-scale data processing - Guide clients in navigating ML algorithms, tools, and frameworks - Design, develop, and deploy AI models for data-driven decision making and business innovation - Create intelligent systems that automate processes, improve efficiency, and drive business innovation, leveraging their expertise in AL/ML, deep learning, and data analysis. - Create, train, and maintain intelligent systems to automate processes and improve efficiency - Report on industry trends and recommend solutions for AI/ML integration - Design and build ML models solving real-world business problems - Make informed ML infrastructure decisions based on modeling techniques and issues - Write and test application code, develop ML models, and automate tests and deployment - Retrain, maintain, and monitor production models - Leverage cloud-based architectures to deliver optimized ML models at scale - Construct optimized data pipelines for ML models - Implement CI/CD best practices for ML model and application code deployment - Ensure code security, model governance, and adherence to Responsible and Explainable AI practices - Regularly recommend and report on industry trends and solutions to meet evolving client needs regarding techniques, tools and technologies for AI/ML integration. Requirements: - Master's degree or Bachelor's of science with 5+ years of industry experience in Computer Science, Software Engineering, Data Science, Statistics, or related STEM field. - 5+ years of experience in AI, data science, ML engineering, or related fields - 4+ years of experience with modern cloud computing technologies (AWS, Databricks, Microsoft Azure or GCP) - Experience in fine-tuning LLMs for custom datasets and/or using RAG to augment LLM applications. - Knowledge of multiple ways of tackling AI/ML problems and demonstrated ability to make good initial choices to make systems that perform well more quickly - Experience using Generative AI tools to help in software programming and testing (e.g. VS-Code or GitHub with copilot AI) - Proficiency in SQL, including advanced query techniques - Experience with version control systems (e.g., Git, Github, Jenkins) - 6+ years of proficiency in Python and Jupyter notebooks. Experience with other languages such as R, and Scala is a plus but not necessary. - Experience developing and assessing AI/ML models and ensembles - Support the seamless integration of multi-media data processing into platform data pipelines - Experienced in planning, setting-up, running and reporting on AI/ML experiments. - Experience building feature repositories for AI-ML model training - Project work in deep learning, transformers, computer vision, NLP, or chatbot development - Experience in developing Generative AI applications especially using LLMs in domains such as NLP and image processing - Knowledge of modern software design patterns (e.g., microservices, edge computing) - Experience working with LLM frameworks and foundation models like LLaMa-3 and experience working with LLM model repositories like Huggingface - Familiarity with MLOps practices and tools for model versioning and experiment tracking - Experience identifying appropriate AI/ML models for a problem and using appropriate techniques to evaluate performance to choose the best model - Experience with techniques for tuning model parameters to application data and conditions Abilities: - Ability to lead an Agile team of data scientists, engineers, architects and testers - Demonstrated ability to work independently - Strong problem-solving skills and ability to think creatively to overcome technical challenges - Participate in the full machine learning lifecycle, from business understanding, data collection and preprocessing to model selection, evaluation, deployment and monitoring - Adapt to rapidly changing technologies and methodologies in the AI/ML field - Excellent communication, analytical, and interpersonal skills - Ability to gather requirements and work effectively as part of an Agile team - Capacity to explain complex technical concepts to non-technical stakeholders - Excellent technical writing skills - Collaborate with business stakeholders to identify opportunities for AI/ML applications - Develop and maintain documentation for ML models, including methodology, assumptions, and limitations - Mentor junior team members and contribute to the growth of the AI/ML practice - Ability to thrive in a mainly remote work environment - Commitment to continuous learning in the fast-evolving AI/ML landscape and look for ways to apply new techniques when appropriate. Desired Qualifications: - Having experience and a good understanding of Ux, Human-AI teaming, human factors in AI and software systems - Published research papers or patents in the field of AI/ML - Knowledge of Agentic AI Systems (e.g. AutoGen, LangGraph, LangChain, CrewAI etc.) - Experience with Knowledge Graphs tools and techniques - Experience with federated learning or privacy-preserving machine learning techniques - Knowledge of data visualization techniques and tools - GPU programming experience Halvik offers a competitive full benefits package including: Company-supported medical, dental, vision, life, STD, and LTD insurance Benefits include 11 federal holidays and PTO Eligible employees may receive performance-based incentives in recognition of individual and/or team achievements. 401(k) with company matching Flexible Spending Accounts for commuter, medical, and dependent care expenses Tuition Assistance Charitable Contribution matching Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

• Oversee and manage the presales department • Develop and implement strategic presales initiatives to drive business growth • Collaborate with sales, marketing, and product teams to create compelling solutions • Ensure the presales team delivers high-quality proposals, demos, and presentations • Monitor industry trends and competitive landscape to inform strategy • Report on presales performance and metrics to senior leadership • Lead and mentor the presales team to ensure professional growth and development • Implementing processes for continuous improvement within the pre-sales function

• Conduct business assessments to identify opportunities for AI adoption • Work in tandem with an AI Solution Engineer to define technical solutions • Translate business problems into AI-based solutions (LLMs, automation, data) • Define scope, conceptual architecture, and value proposition for the client • Prepare commercial proposals and executive presentations • Serve as the primary interface with stakeholders during the discovery phase • Execute a structured handover to the development team after approval • Monitor trends and identify new strategic opportunities