• Own end-to-end campaign execution: intake, planning, build, QA, launch, and post-launch reporting • Write and edit campaign copy across channels — including emails, landing pages, and ad creative — adapting from existing content assets and messaging frameworks set by the Content and Product Marketing teams • Schedule and lead campaign kickoff calls with clear agenda, roles, risks, and outcomes • Build and manage Asana project trackers with tasks, timelines, dependencies, and owners • Create campaign templates, naming conventions, workflows, and documentation • Manage a single source of truth for campaign status, deliverables, approvals, and risks • Work with Marketing Operations and RevOps to build dashboards tied to attribution, pipeline, and velocity • Build AI agents to automate reminders, handoffs, briefs, approvals, QA checks, and post-launch updates • Lead weekly campaign reviews, sharing status, blockers, and mitigation actions • Coordinate timelines, QA, and deliverables with creative agencies and paid media partners • Run post-campaign retrospectives, document learnings, and improve workflows and templates • Support segmentation and audience targeting with PMM and operations teams • Enable teams on new templates, workflows, and AI agents • Review campaign performance and share insights with team to guide decisions, prioritization, and experimentation

Role Description AI-driven discovery is reshaping how audiences find brands, and we are helping our clients lead the way — across AI Overviews, ChatGPT, Perplexity, and beyond. We are looking for a senior SEO and AI search specialist contractor to help our clients show up where their audiences are searching now. Approximately 10 hours per week, ongoing, across a mix of B2B and B2C projects. What You Will Do - Audit and strategy: Conduct technical and content SEO audits, identify AI search visibility gaps, and recommend prioritized roadmaps. - AI search optimization: Improve client visibility in Google AI Overviews, ChatGPT, Perplexity, and Gemini through structured data, entity optimization, citation strategy, and answer-first content. - Keyword and content strategy: Lead keyword research, search intent mapping, and content briefs for both traditional SERPs and AI surfaces. - Technical SEO: Review crawlability, indexation, schema, Core Web Vitals, and rendering. Partner with client or internal dev teams on fixes. - Measurement and reporting: Set up and interpret performance data across GA4, Google Search Console, Ahrefs/SEMrush, and AI visibility tools (Profound, Otterly, Peec AI). - Tool exploration: Help us evaluate new AI search tools as they emerge. Curiosity matters. - Cross-functional collaboration: Brief our writers and designers on SEO/AEO requirements and join client calls as the SEO subject matter expert. Qualifications - 5–10+ years of hands-on SEO experience across technical, on-page, and content optimization. Agency or enterprise background preferred. - Active work in AI search optimization — AEO, GEO, and AIO. - Fluent in the modern tool stack: Ahrefs or SEMrush, Google Search Console, GA4, Screaming Frog, Schema.org, and at least one AI visibility tracker. - Strong content instincts: Understanding how editorial quality, entity clarity, and answer-first structure drive both rankings and AI citations. - Clear communicator: Ability to translate technical concepts for non-technical clients and write recommendations creative teams can act on. - Comfortable with ambiguity: Testing, measuring, and adjusting rather than waiting for settled best practices. - Mix of B2B and B2C experience, ideally including technical/enterprise B2B and consumer brands. Requirements - Hours: ~5-10 hours per week, with flexibility to scale for project needs. - Rate: $100–$150 per hour, commensurate with experience. - Location: Remote (global). - Start: Immediate, with an initial 90-day evaluation period. How to Apply Send a short note about your background, resume with links to relevant work (especially AI search visibility examples), and your hourly rate, to careers@sketchdeck.com . We are most interested in concrete results — a client whose AI Overview presence you grew, a schema implementation that moved the needle, an audit that surfaced something non-obvious. Inclusivity Statement We value diverse perspectives and are committed to an environment where everyone can bring their authentic selves to work daily. If you’re excited about the role but don’t meet every qualification, we still encourage you to apply—studies show that women and people of color are less likely to apply unless they meet all the requirements. We’re interested in what you can bring to our team, whether for this role or another opportunity in the future. SketchDeck is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, sexual orientation, marital or civil status, pregnancy (or pregnancy-related conditions), gender identity or expression, transgender status or gender reassignment, race, color, national origin or ancestry, citizenship, religion or religious beliefs, age, physical or mental disability, genetic information, military or veteran status, or any other grounds or characteristic that is protected under the law. If you require reasonable accommodation during the interview process or employment, please contact us at careers@sketchdeck.com . We’re here to support you in every step of the process.

Role Description We are seeking a Senior Applied AI Scientist to lead the research, development, and deployment of advanced machine learning and AI systems that power Claritev’s next generation of healthcare products. This is a hands-on technical leadership role for an experienced applied scientist who thrives at the intersection of research innovation, real-world deployment, and measurable business impact. You will architect and deliver predictive, generative, and agentic AI systems that automate complex healthcare workflows and unlock new insights from large-scale healthcare data. In this role, you will work closely with Product, Engineering, and business leaders to translate cutting-edge research into scalable production solutions that improve transparency, reduce costs, and simplify healthcare operations. Key Responsibilities - AI & Machine Learning - Design, develop, and deploy machine learning and AI models in production environments. - Build predictive, generative, and optimization models to improve healthcare outcomes and operational efficiency. - Improve existing models and systems with measurable impact on performance, scalability, or business metrics. - Innovation & Applied Research - Research and evaluate emerging AI technologies, foundation models, and agentic systems to identify opportunities for new products and capabilities. - Design and implement novel machine learning and optimization methodologies tailored to complex healthcare data and workflows. - Drive experimentation and rapid prototyping to accelerate innovation and product development. - Product & Business Impact - Partner with Product, Engineering, and business stakeholders to translate AI capabilities into scalable solutions. - Identify opportunities to leverage Claritev’s data assets to create new AI-driven products, insights, and automation capabilities. - Collaborate directly with clients to gather feedback and ensure solutions deliver measurable value. - Engineering & Production Excellence - Write high-quality, scalable, and production-ready code. - Work closely with Engineering and DevOps teams to deploy and maintain models in production systems. - Develop monitoring frameworks to ensure model performance, reliability, and data quality over time. - Collaboration - Collaborate cross-functionally with Product Managers, Engineers, Data Scientists, and domain experts. - Contribute to team knowledge sharing, code reviews, and best practices. - Provide guidance and informal mentorship to junior team members where appropriate. - Governance & Compliance - Follow best practices for data privacy, security, and compliance (e.g., HIPAA). - Support model validation, monitoring, and responsible AI practices. Qualifications - Ph.D. or M.S. in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field. - 3–6 years of experience post-MS, or 0–3 years post-PhD applying Machine Learning (ML), Predictive Modeling, or Generative/Agentic AI in industry, with a proven track record of delivering solutions from prototype to production. - 1-2 years of hands-on experience with Generative AI and agent development. - Healthcare or health services experience is a plus. - Strong proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and agentic frameworks (e.g. LangChain, LangGraph, Autogen, crewAI, n8n). - Expertise in designing and implementing RAG pipelines, and integrating planning, memory, tools, MCP, and A2A protocol for agent workflows. - Experience in building evaluation pipelines for LLM and agent performance, including metrics such as accuracy, reliability, and latency. - Proficiency in using AI Coding tools like Github Copilot, OpenAI Codex etc. - Strong foundation in ML theory, including deep learning, statistics, or optimization. - A product-oriented mindset, with the ability to align applied science work with business objectives and impact. - Excellent communication and cross-functional collaboration skills. Requirements - Specific compensation offers are determined based on a variety of factors including the candidate’s education, experience, skills, work location, and internal equity considerations. - This position is eligible for an annual performance bonus and a comprehensive benefits package, including health insurance and a 401(k) retirement plan. Benefits - Medical, dental and vision coverage with low deductible & copay. - Life insurance. - Short and long-term disability. - Paid Parental Leave. - 401(k) + match. - Employee Stock Purchase Plan. - Generous Paid Time Off – accrued based on years of service. - 10 paid company holidays. - Tuition reimbursement. - Flexible Spending Account. - Employee Assistance Program. - Sick time benefits – for eligible employees, one hour of sick time for every 30 hours worked, up to a maximum accrual of 40 hours per calendar year. EEO Statement Claritev is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. Application Deadline We will generally accept applications for at least 5 calendar days from the posting date or as long as the job remains posted.

• Design, write, and iterate prompts that generate structured, high-quality AI-driven content • Build and maintain scalable prompt frameworks across multiple formats and use cases • Test AI outputs, identify failure modes, and systematically improve results through iteration • Define and enforce rules, constraints, and schemas (including JSON outputs) to ensure consistency and reliability • Evaluate content quality across accuracy, engagement, repeatability, and structure • Develop, prototype, and validate new content formats from concept to production-ready systems • Run experiments to compare prompt variations and scale successful approaches • Collaborate with stakeholders using tools such as generative AI platforms, spreadsheets, and structured workflows • Maintain documentation and clarity around prompt logic, systems, and expected outputs