Graphic Trends is a privately owned custom retail display manufacturer headquartered in Southern California. Since 1983, we've partnered with leading consumer brands to design, engineer, manufacture, and distribute award-winning retail displays, fixtures, and merchandising programs for the beauty, consumer electronics, warehouse club, and specialty retail industries. This is not a traditional recruiting assignment. We are looking for an experienced sourcing professional who knows how to identify and engage passive candidates already employed in our industry not someone who relies primarily on job postings or resume databases Instead, we're looking for an experienced LinkedIn Recruiting & Candidate Sourcing Specialist who excels at identifying and engaging passive candidates currently employed by companies similar to ours. Our Objective We are seeking one exceptional Business Development / Sales professional with significant experience selling custom retail displays, POP/POS, retail fixtures, packaging, or visual merchandising solutions. The ideal candidate will currently work for a small to mid-sized company (approximately 20–200 employees) and have experience calling on brand marketers, shopper marketing teams, visual merchandising groups, retail operations, or consumer packaged goods companies. Responsibilities Develop a targeted list of companies that fit our desired profile. Identify qualified sales professionals using LinkedIn and other sourcing tools. Create personalized outreach messages. Conduct confidential outreach to passive candidates. Follow up with interested candidates. Qualify candidates based on our criteria. Schedule introductory conversations with our leadership team. Maintain organized tracking of all outreach activities. Candidate Profile We Are Seeking We are not interested in candidates from Fortune 500 corporations or very large organizations. Instead, we are looking for professionals who have experience working for entrepreneurial companies specializing in: Custom Retail Displays POP / POS Displays Retail Fixtures Visual Merchandising Printing Consumer Products Beauty Consumer Electronics Club Store Merchandising Please apply only if you have experience: Recruiting passive candidates. Using LinkedIn Recruiter or LinkedIn Sales Navigator. Conducting personalized outreach campaigns. Recruiting Business Development or Sales professionals. Working on manufacturing, packaging, retail display, or related B2B industries. This is an initial sourcing engagement with the potential for additional work based on results. Our initial goal is to: Identify 200–300 qualified passive candidates. Conduct personalized outreach. Generate qualified interest. Schedule 5–10 confidential introductory conversations. When Applying Please include: A brief description of a similar passive candidate sourcing project you've completed. The sourcing tools you regularly use (LinkedIn Recruiter, Sales Navigator, Apollo, ZoomInfo, etc.). Why you believe you're a good fit for this assignment. To confirm you've read this posting, please begin your proposal with the words "Passive Candidate Search."

We're hiring a senior engineer for a focused proof of concept. Full details shared with shortlisted candidates. THE PROJECT Prove, within 4-8 weeks, that an open-weight base model adapted with a curated sample of our proprietary data produces measurable improvement on culturally specific tasks: local references, language nuance, culturally appropriate responses instead of generic default answers. At the final review, stakeholders run agreed prompts against the base model and the adapted model side by side and see where our data improved the output. This is a feasibility sprint, not production work. Potential follow-on work if it goes well. DELIVERABLES The full list below is due within the 4-week window, with a progress review at the midpoint and a final review at the end. Sequencing is yours to propose; you are the expert. What is fixed is the complete list: - Written base model selection and benchmarking recommendation against our tasks and data-sovereignty constraints. - A controlled, reproducible environment for inference and adaptation (versioned configs, run tracking). - Curated data sample and a clean held-out evaluation set. - Evaluation framework v0 that scores base vs adapted outputs across agreed domains, with baseline results established before adaptation. - Adaptation experiment (LoRA/QLoRA/SFT/distillation as the data dictates and licenses permit) with a quantified before-and-after against the held-out set. - A single-language multilingual proof of concept. - Demo-ready V0 supporting the side-by-side comparison on agreed prompts. - Initial governance, safety, and provenance framework. - TPU/GPU deployment assessment. - Integration spec for our agent and routing layer. Phase 2 roadmap. - Full handover package: source code, configs, adaptation scripts, prepared datasets, evaluation and architecture documentation. CONSTRAINTS - All work runs inside our controlled environment. No company data touches any third-party or externally hosted inference service. Compute is provided; you tell us what to provision. Open-weight licenses must permit commercial use. OUT OF SCOPE Production deployment and MLOps, full-scale training runs, ingestion of the full corpus, broad domain and language coverage, and any guaranteed quality numbers. We report what the evals show. REQUIREMENTS - Hands-on experience fine-tuning open-weight LLMs (not just API fine-tuning), building evaluation harnesses with held-out sets, and working with data that cannot leave a controlled environment. - Experience with multilingual or non-English model evaluation is a strong plus. You personally lead and stay hands-on; a small support team is fine but the core work is not delegated. TO APPLY, answer these directly (applications that skip them are ignored): - Describe the largest open-weight fine-tuning project you have personally executed: model, technique, dataset size, and what measurable improvement you achieved. - How would you build an evaluation framework for subjective cultural quality, where "better" is not a benchmark score? Be specific about held-out sets, judges, and gold standards. - Have you deployed or assessed deployment on TPUs as well as GPUs? Describe. - Given the full deliverables list above, how would you sequence the 4 weeks? Brief outline is fine; we want your plan, not ours. Can you start soon, and can you commit the full 4-weeks without competing obligations?

Role Overview You are the Executive AI Enablement Lead at AIVC, the person whose job is to make the executives at AIVC’s client businesses true power users of Claude, Cowork, and code- and agent-driven workflows. AIVC partners with operator businesses to drive AI-led EBITDA growth, and part of that work is bringing each company’s most senior leaders up the AI curve. You’re the person who personally designs and runs that path on every engagement: assessing where a given client executive is today; curating the right materials, videos, and course content; running 1:1 coaching; building executive playbooks; and acting as their daily operator-in-the-loop until the new workflows stick. The first concrete instance is already lined up, a named client managing partner has explicitly asked for the fastest path to becoming a power user of Claude, Cowork, and Claude Code / Skills. From there you scale: same treatment to additional client executives across the portfolio, then a documented set of executive-grade playbooks and patterns that compound across every future engagement. You are bias-toward-results – a win is the client executive’s calendar-week looking different, not a beautifully written rubric nobody uses. What You’ll Own (Outcomes) • Within 30 days of pairing with the first client managing partner, they have a working daily routine in Claude, Cowork, and Code/Skills that’s already replacing or improving how they handle at least three recurring tasks • Within the first quarter of the engagement, the client executive is a true power user — running multi-step workflows, custom Skills/Projects, and agent-assisted tasks without needing coaching scaffolding for the basics • A documented set of executive playbooks (research, writing, analysis, synthesis, workflow automation, agent-assisted tasks) that compound across every client engagement, not one-offs • A curated, current library of learning materials, videos, example workflows, and Claude-native patterns — including a clear point of view on which external courses, tutors, or expert resources are worth plugging in • Observable change in how client executive cohorts use AI: from reactive chat to repeatable, structured, outcome-oriented workflows • A foundation of training assets and patterns that scales beyond executive coaching into broader client teams in year two • A reputation among AIVC’s clients as the trusted go-to for “how do I do this better in Claude” — measured by inbound demand and engagement expansion What You’ll Do (Responsibilities) • In the first weeks: build the first client managing partner’s tailored upskilling plan — assess current usage, identify the highest-leverage workflows for their day-to-day, curate the right mix of materials / videos / course content, and recommend any tutor or expert-guided support to fold in • Provide 1:1 coaching for client executives — managing partners, founders, C-suite leaders — on Claude, Cowork, and code- and agent-based workflows • Design tailored training plans per executive that go beyond basic onboarding into advanced usage, with explicit progression from chat → workflows → agents • Curate the best external materials (videos, courses, blog posts, example projects) and rewrap them into client-ready, AIVC-flavored learning paths • Teach practical, high-leverage use cases live: research, writing, analysis, synthesis, workflow automation, and agent-assisted tasks • Help client executives move from general chat usage into repeatable workflows — Claude Projects, Skills, scheduled Cowork tasks, MCP integrations, custom agents • Serve as a real-time tutor and expert resource for client executives — over Slack, in meetings, on-site, and in async written feedback • Run office hours, workshops, and informal Q&A sessions inside client teams to keep adoption sticky between coaching sessions What We’re Looking For (Required) • Deep hands-on expertise with Claude across every surface (Claude.ai, Claude Projects, Claude Code, Claude Skills, Claude API) — and an active habit of pushing the edges of each • Strong working fluency with Claude Cowork specifically, including scheduled tasks, connected apps / MCPs, and the broader workflow surface • Strong capability with code-enabled AI workflows: you can write Python and/or TypeScript, build agents, configure MCP integrations, and ship a working internal automation end-to-end without needing an engineer • Demonstrated ability to teach non-technical but highly demanding users — you’ve made executives, founders, or senior operators meaningfully better at something complicated, not just trained engineers • Strong workflow design instinct — you can translate messy business questions into clean prompts, workflows, and systems • Polished, discreet, and effective in high-touch client executive settings — high EQ, low ego, comfortable representing AIVC inside senior client environments and around senior decision-makers • Strong bias toward practical results over theoretical AI knowledge — the metric is the client executive’s behavior change, not the elegance of the explanation • Excellent written and verbal communication; you can write a playbook a client executive will actually read and use • Comfort with significant travel to client sites and embedded, on-site engagement work • 5+ years of professional experience across some mix of: applied AI / ML, technical training and enablement, developer relations, solutions engineering, executive coaching, management consulting, or chief of staff / senior operator roles to executives Helpful If You Have (Preferred) • Prior experience coaching or supporting C-level executives, founders, or managing partners as a client-facing professional — executive coach, principal solutions engineer to executive customers, chief of staff to a CXO, or partner-level consultant • Background that combines technical depth with people skills — developer relations, solutions engineering, technical training, or learning & development at a frontier AI or developer-tools company • Direct experience building executive-facing training programs or curricula that demonstrably moved adoption inside other organizations • Hands-on familiarity with the Anthropic product surface specifically: Claude Projects, Claude Skills, Claude Code, MCP server development, Claude API • Track record of getting non-technical users to genuinely adopt a technical tool — i.e., users who chose to keep using it after the training ended • Background in management consulting, professional services, executive coaching, or learning & development — especially in environments where the customer was a senior external client • An active personal portfolio of AI work (workflows, automations, blog posts, talks, open-source contributions) you can point to • Comfort building light tooling (a Notion playbook system, a Claude Skills catalog, a small dashboard) without needing engineering support • Familiarity with AIVC’s model — operator business engagements, EBITDA-led measurement, and the broader compounding intelligence layer — or eagerness to come up the curve quickly

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

We're hiring a senior AI developer to build and deploy AI solutions for a fintech/credit-union platform. The work spans autonomous banking agents, fraud detection, credit scoring, and bill-pay/invoice automation — at the intersection of LLMs, cloud infrastructure, and financial-domain expertise, with security and compliance built in from the start. This is a long-term, ongoing engagement. What you'll do: AI agents & orchestration - Design, build, and deploy multi-agent systems using Amazon Bedrock Agents, LangChain, and related frameworks - Architect agentic workflows for core banking use cases: credit scoring, fraud detection, bill-pay automation, invoice management - Define agent personas, memory strategies, tool-use patterns, and escalation paths for production banking agents LLM engineering - Fine-tune, prompt-engineer, and evaluate LLMs for financial-domain tasks - Build RAG pipelines over credit-union knowledge bases, policy docs, and member data - Implement guardrails, content filtering, and compliance checks for safe, regulated outputs - Monitor performance, hallucination rates, and latency against SLAs Cloud infrastructure (AWS & Azure) - Architect and manage AI/ML workloads on AWS (Bedrock, SageMaker, Lambda, S3, IAM, VPC) and Azure (OpenAI Service, Azure ML, AKS) - Design secure, cost-optimized environments compliant with NCUA, PCI-DSS, and SOC 2 - Implement infrastructure-as-code with Terraform or AWS CDK DevOps & MLOps - Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, CodePipeline, Azure DevOps) - Containerize services with Docker, orchestrate with Kubernetes (EKS/AKS) - Apply MLOps best practices: model versioning, A/B testing, canary deployments, automated rollback - Stand up observability with logging, tracing, and alerting Python development - Write clean, well-tested Python for AI pipelines, REST APIs, and data workflows - Build FastAPI/Flask microservices exposing agent capabilities to frontend and core banking systems - Integrate with financial data sources, core banking APIs, and third-party fintech services Banking applications - Build credit-scoring models using alternative data and explainable AI (XAI) - Develop real-time fraud detection with behavioral analytics, anomaly detection, and auto-decisioning - Create conversational agents for bill pay, account management, and member self-service - Automate invoice workflows: extraction, classification, approval routing, reconciliation - Partner with compliance/risk to keep AI decisions auditable, fair, and regulatory-compliant What you should have: - 5+ years software engineering; 3+ years in AI/ML or LLM engineering - 2+ years building AI for banking, credit unions, or financial services - Hands-on experience with Amazon Bedrock, LangChain, Python, AWS, and infrastructure-as-code - Working knowledge of NCUA, PCI-DSS, SOC 2, GLBA, and Fair Lending requirements - Bachelor's or Master's in Computer Science, Software Engineering, Data Science, or related field Nice to have: - AWS or Azure AI/ML certifications - Open-source LLM experience (Llama, Mistral, Phi) and self-hosted inference (vLLM, Ollama) - Vector databases (Pinecone, OpenSearch, pgvector) - Graph-based fraud networks and graph ML - AI governance / responsible AI framework experience - Prior work at a credit union, community bank, or fintech lending platform To apply, please share: - Your resume highlighting AI and banking project experience - A brief note on your most impactful AI agent or LLM project in a financial-services context - Links to GitHub, portfolio, or published papers (optional but encouraged)

Why This Role Deserves Your Attention AI agents are transforming how enterprises operate — and Metaprise is building the infrastructure that makes it possible at scale. We're not a tool, a wrapper, or a workflow builder. We're building the Agent Operating System that lets companies deploy, govern, and trust AI agents across their entire workforce. The people we hire in the next 12 months will shape what this company becomes. That's where you come in. We're looking for a Talent Acquisition Coordinator who's energized by this mission, moves fast, communicates clearly, and takes full ownership of every step of the hiring process. This is a hands-on, execution-focused role — and if you've been waiting for work that actually matters, keep reading. What You'll Own You are not processing paperwork. You are helping build a team. Source candidates. Proactively identify and engage qualified candidates across LinkedIn, job boards, and niche communities. Build pipelines before we need them. Know where the right people are and go find them. Schedule and coordinate. Own interview scheduling end-to-end — across hiring managers, candidates, and time zones. Nothing falls through the cracks. Nothing is late. Every stakeholder knows exactly where things stand. Manage the candidate experience. Every person who enters our process should leave it with a clear sense of who we are. Timely, warm, and professional communication at every touchpoint — regardless of outcome. Keep the pipeline organized. Maintain accurate ATS records, track hiring progress across open roles, and surface blockers before they become problems. The team should always have a clear picture of where each search stands. Support the broader recruiting function. As a early-stage company, the scope of this role will grow. You'll contribute to how we build our employer brand, refine our process, and scale our hiring as the company grows. What We're Looking For We care about two things: motivation and potential. The right person for this role is genuinely hungry for the work itself — not just the title. You're curious about AI and excited to be part of building it. You don't need to be an engineer. But you follow what's happening in the agentic AI space, you understand why it matters, and you want to be inside a company that's at the center of it. You communicate with clarity and care. Written and verbal. You close the loop without being asked, follow up proactively, and never leave a candidate or colleague guessing about where things stand. You take accountability seriously. Deadlines aren't reminders — they're commitments. When you own something, it gets done. If something goes sideways, you surface it early and come with a solution. The Baseline Bachelor's degree or equivalent experience 1–2 years in recruiting coordination, HR, talent acquisition, or a closely related role Comfortable with ATS platforms, scheduling tools, and sourcing on LinkedIn Strong written communication — you can draft a candidate outreach message or an internal update with equal clarity Why Metaprise, Why Now Enterprise AI deployment is accelerating faster than most companies can govern it. Metaprise is building the operating system that closes that gap — a unified execution runtime with built-in identity, authority, and audit, deployable across cloud, hybrid, or fully air-gapped environments. The product is built. The architecture is proven. The GTM motion is ready. Now we're scaling the team that will take it to market — and you'd be one of the first people helping us do that. This is not a role where you inherit a process and run it on repeat. You'll help build the process. You'll be working directly alongside our recruiting and leadership team, in a company where your contributions are visible, your growth is real, and the mission is one you'll still be proud of in twenty years. If the description above sounds like exactly the kind of work you've been looking for, we'd love to hear from you. Details Remote (Can sit on-site if located in NYC) Part Time Contract Reports to: Talent Acquisition / People Lead, with direct exposure to company leadership.

We are a small, funded product team taking a live iOS and Android app (React Native) into its most important release. The app is moving from a manual tool to an intelligent, automated daily companion. We are hiring one senior developer to own both the front-end experience and the back-end intelligence layer, and to help us make the key architecture decisions for what comes next. Full product details are shared under NDA. This post is about the bar we need you to clear, so read the application instructions carefully. The One Thing That Matters Most You have personally built and shipped cross-platform mobile apps that real users have in their hands today. Not prototypes, not tutorials, not apps that stalled before launch. We want to see them, use them, and hear exactly what you built. Everything below matters, but nothing matters more than proof that you have taken a mobile app all the way to the App Store and Google Play and kept it running. What You Will Own Front end A polished, animated experience: onboarding flows, sequenced screens, and a completion moment that has to feel premium. We care about craft and detail, not just functional screens. Back end Data modeling, serverless functions, a per-user scheduled notification engine, third-party AI API integration, subscription entitlement logic, and a time-series scoring system. Our current stack runs on Firebase, so you will work in it from day one, but part of your job is to tell us where it should go next. Your first deliverables In your first 1-2 weeks, before heavy building starts, you will: Review our functional spec (FSD) and write the technical spec (TSD) for how you will build it Give us your own build estimate and milestone plan against the October 31, 2026 target. Deliver a written backend recommendation: stay on our current stack, extend it, or migrate. For the backend call, weigh Firebase/Firestore, Postgres (for example Supabase), and other options against our real needs: 10,000+ active users, AI API integration, offline-first sync, reliable push at scale, velocity, and cost. We want an objective read from someone who has shipped on more than one backend, not someone married to a single tool. What You Must Have 3+ years building React Native apps that are live in production on both iOS and Android. Shipped and maintained, not just started. Strong full-stack backend fundamentals: serverless/cloud functions, data modeling, auth, security rules or access control, and API design. Hands-on experience with both a NoSQL database (for example Firestore) and a relational database (Postgres or similar). You should be able to reason about the trade-offs, because you will be advising us on exactly that. Production experience integrating a third-party AI API (Claude, OpenAI, or comparable), including handling latency, cost, and structured output. Proficient in TypeScript. Our codebase is TypeScript. RevenueCat for subscription entitlement management. It is already integrated in our codebase. Push notification infrastructure and scheduled/triggered server logic that runs reliably per user. Clear written English and comfort working async-first over Slack, with GitHub-based code review. Strong Advantage (Not Required) If you have shipped these before, tell us. If not, we expect a strong engineer to pick them up quickly. Firebase at real scale in production: Firestore schema design, Cloud Functions with complex triggers, FCM, and Firebase Auth. UX/UI craft: polished animation work such as SVG stroke animation, radial gradients, and staggered/sequenced motion. Device-native speech-to-text on iOS and Android. Anthropic Claude API specifics: prompt caching, system-prompt engineering, structured output. Experience scaling a consumer or wellness/subscription app to 10,000+ active users. Engagement Time commitment: we expect roughly 20+ hours per week, sustained. This is a real ongoing engagement, not a few hours here and there. Timeline: our v3 release targets October 2026. Expect focused, steady delivery between now and then, with the backend recommendation done in your first few weeks so we can lock the architecture early. Scope: substantial multi-month build with strong potential to continue into v3+ if it is a good fit. We would rather find one reliable partner for the long haul than churn through contractors. Tooling: GitHub, Slack for daily communication, TestFlight for iOS builds. Contract, hourly or fixed-price per sprint. Your preference. Tell us your rate and preferred structure. All builds, schema changes, and deployments are reviewed before release. We commit to a 48-hour feedback turnaround. How to Apply — Read Carefully You must submit a portfolio website or a link to your work before any screening call. Applications without a portfolio link will not be reviewed and will not receive a call. To be considered, include all of the following: A portfolio or work link (required, no exceptions). Applications without one will not be reviewed. One shipped mobile app you are proud of, live on iOS and/or Android, with a store link or video. Tell us specifically what you built. One backend system or serverless function you built. Describe the scale, the data model, and the hardest problem you solved. One example of UI craft or complex interaction, with the visible result (link, video, or GIF). Your one-paragraph read on the backend question: given the needs above, would you stay, extend, or migrate, and why? A confident “it depends, here is how I would decide” is a great answer. A brief note on how you approach scoping and estimating a build like this. We do not expect a number before you have seen the spec, but we want to see how you think about it. Your rate, preferred engagement structure, and realistic start date. How many hours per week you can realistically commit, sustained, between now and an October 31, 2026 v3 target. Be honest. We would rather know your real capacity up front. We respond to every complete application. We are looking for a developer who takes their craft seriously.

Overview SolisRx is a healthcare analytics consultancy embedded inside the operational core of mid-market infusion providers and specialty pharmacies. We sell monthly engagement retainers and deliver fractional teams across data engineering, decision analytics, and revenue cycle intelligence. Our clients run tens to hundreds of millions in annual revenue. Our recommendations move it. We are hiring a Principal Healthcare Analytics & AI Consultant to own client engagements end to end, from stakeholder discovery through delivery, expansion, and long-term account health. This is the senior IC seat in our delivery org. You will operate as the most senior voice in the room with clients, with direct access to the founder and direct authority to direct engineering resources. The bar for this role is high. The compensation reflects it. The trajectory is uncapped. What You Will Own Stakeholder discovery. Run scoped interviews with C-suite leaders at infusion centers and specialty pharmacies (COOs, CFOs, Heads of Operations, and occasionally medical directors). Translate ambiguous business questions into structured analytical problems. Produce decision-ready specs without supervision. End-to-end delivery. Architect and build dashboards, semantic models, and pipelines yourself across Power BI, SQL, and the Microsoft Fabric stack. You write the DAX, model the fact-and-dimension tables, validate against source. You do not hand off and supervise. Engineering leverage. Direct offshore engineering resources to scale your output. Write the spec. Run the QA. Own the outcome, and the bug. Executive presentation. Present findings to client executives without a Principal in the room filtering your work. Numeric, specific, recommendation-led. Account expansion. Identify scope-expansion opportunities within your account: new analytics workstreams, additional service lines, deeper RCM integration. Surface them to the founder with a clear business case. Help close them. Delivery system design. Beyond your own account, contribute to SolisRx's delivery operating model, sprint structure, QA standards, ticketing discipline, documentation conventions. We are still building the firm; senior ICs help shape it. This is a hybrid consulting and technical delivery role inside a healthcare-specific operating context. The work is roughly 70–80% data and BI craft: dashboards, modeling, pipelines, advanced intelligence & executive translation, and 20–30% healthcare domain fluency around revenue cycle, claims, prior auth, and infusion-specific operational realities. You will be the senior voice in the room for your account from week one. What We Are Looking For We screen on three dimensions: track record, technical fluency, and operating temperament. All three are required. Track record 8 to 13 years of progressive experience in BI, analytics, or data consulting Consulting background at a pharma or RCM analytics firm: ZS, Axtria, Beghou, IQVIA, MathCo, Trinity, Huron, Chartis, L.E.K. Healthcare, or Big 4, boutique, or independent. Senior IC role at a healthcare data startup or product company also a strong fit Current or recent title at the level of Decision Analytics Manager, Senior Manager, Associate Director, Principal, Staff, Architect, or Lead. If you are on the cusp of a pure people-management promotion and want a different path, we want to talk Demonstrable record of shipping engagements that drove client P&L outcomes, not just deliverables that "went well" internally Real client-facing experience: discovery with COOs and CFOs, executive presentations with no Principal filter in the room, managing stakeholders who disagree with each other Technical fluency Deep hands-on skill in Power BI or Tableau at a level where you have built things people thought were impossible. You know DAX or LOD expressions cold Strong SQL: CTEs, window functions, performance tuning, comfort debugging codebases you didn't write Experience shipping production ML use cases: classification, regression, or unsupervised, that drove clear business value. Not Kaggle notebooks. Real models that informed real decisions Comfort with the modern data stack, exposure to Microsoft Fabric, Databricks, Snowflake, dbt, or equivalents. Conceptual fluency in medallion architecture and lakehouse design Active, hands-on use of AI tools in your workflow. Claude, Cursor, Copilot, ChatGPT. You have shipped work using agentic frameworks, function calling, tool use, or RAG done properly, or you are itching to. Bias toward "Claude-pilled" curiosity. Operating temperament Recommendation-led, not options-led. You do not surface choices without a point of view First-principles problem structurer. Comfortable in ambiguity, undeterred by missing information, capable of converging on a defensible answer Comfort directing engineers and unblocking them, not just handing off specs Strong written and verbal communication. You write with precision, speak with confidence, and do neither at unnecessary length High-velocity executor. You self-impose deadlines and hold them. You flag slippage before it happens, not after Strong pluses Healthcare, specialty pharmacy, infusion, or RCM domain experience. If you have done commercial analytics, patient services, claims, prior auth, or benefits investigation work, we want to talk. Not required if you have led complex analytics engagements in other regulated industries Familiarity with 837/835, HL7, FHIR, X12, NCPDP etc. Previous Forward Deployed Engineer or embedded consultant experience inside a product company Prior tenure inside a high-bar environment: top consulting (MBB, ZS, IQVIA), top tech (FAANG analytics, frontier AI labs), or a venture-backed analytics startup What This Is Not This is not a back-office developer role. It is not a dashboard factory role This is not a pure people-management track. We are hiring a senior IC, not a manager-of-managers. If you are looking to step out of building, this is the wrong seat This is not a 9-to-5, but also not ibanking. We run on US Eastern hours and Client deadlines and urgency are real. The work will fluctuate but expect an average of 45-55 hrs/week. This is not a role with a 6-month ramp. You should be productive on a live account within your first two weeks This is not a domain-agnostic analytics role. You will be steeped in healthcare data, claims, eligibility, referrals, prior auth, billing, within your first 60 days. Candidates who cannot get excited about healthcare operational data should self-select out Trajectory Year 1: Embedded on a single high-priority account. Own a vertical slice of delivery. Founder shadows closely. Year 2: Lead a forward-deployed team end-to-end, own the engagement outcome. Present to client executives without filter. Profit-share begins. Year 3+: Senior leadership track. Profit-share moves from initial participation to a meaningful, growing stake tied directly to firm performance. Compensation This is structured for senior ICs who want upside, not predictability. Base: $115K–$140K, calibrated to demonstrated caliber. Performance-based variable: 20-30% of base for top performers, tied to client outcomes, delivery quality, and business performance. Total compensation range: $140K–$185K annually. Profit share: : Participation begins in Year 2 and grows into a meaningful stake as you move onto the senior leadership track. This is the principal-track-equivalent path inside a small, fast-growing firm. For US candidates: Healthcare and reasonable PTO, and full AI tooling budget. Fully remote with occasional client travel (roughly 4 to 8 US trips per year). If you're optimizing for guaranteed cash, the bigger firms will pay you more. If you're optimizing for trajectory and uncapped upside on a small, fast team, this is the structure. We offer visa sponsorship for exceptional candidates Process A real process designed to test for the work, not for interview trivia. Typeform application: we read every Typeform before any resume, here is the link to start: https://form.typeform.com/to/rRYHQzvq 30-minute discovery conversation with the hiring lead: understand you as a person beyond your resume 60-minute technical deep-dive Potential Paid take-home (~6 hours): a scoped analytical and technical exercise with a real-world deliverable. You present back Reference checks and offer

Growth Marketing & Paid Media Specialist (AI-First Marketing) Part-Time | 10–20 Hours per Week | Hourly | Potential for Long-Term Relationship About Us We're launching a new online education platform designed to help small business owners build more profitable, sustainable businesses. Our first product is an intensive online Boot Camp. Sales begin within the next 2 weeks, and the Boot Camp launches September 1. We're looking for someone who thrives in an entrepreneurial environment, can hit the ground running, and wants to help build something meaningful from the ground up. About the Role This is not simply a paid media or reporting position. We're looking for someone who combines strategic thinking, creativity, strong writing instincts, analytical ability, and a passion for using the latest AI tools to produce better marketing. We want a marketing partner who can help us improve our messaging, strengthen our content, optimize advertising campaigns, refine social media and email marketing, and make ongoing recommendations that increase conversions throughout the launch. You'll be expected to work independently, bring ideas to the table, identify opportunities for improvement, and make recommendations—not simply execute assigned tasks. AI-First Marketing We believe AI is fundamentally changing how great marketing gets done. We're looking for someone who is excited to experiment with the newest AI platforms and workflows to dramatically improve productivity, creativity, and campaign performance. This includes using AI to: Generate and refine social media content Improve email marketing campaigns Create and test ad copy and creative concepts Analyze campaign performance Accelerate research and competitive analysis Build smarter marketing workflows and automations Produce better results with fewer resources If you're already incorporating cutting-edge AI tools into your daily workflow—and enjoy learning the next generation of tools as they emerge—we want to hear from you. Experience with AI-assisted coding ("vibe coding") to build lightweight automations, dashboards, landing page improvements, or marketing workflows is a significant plus. You don't need to be a software engineer, but you should be comfortable using AI to build solutions that make marketing faster and more effective. Responsibilities Develop and refine our paid media strategy. Build, manage, and optimize Meta (Facebook and Instagram) advertising campaigns. Recommend audience targeting and testing strategies. Edit and improve social media content, advertising copy, email campaigns, and marketing messaging. Use AI tools to increase the speed and quality of content creation and campaign optimization. Provide recommendations to improve landing pages and conversion rates. Build dashboards that clearly track campaign performance. Monitor campaign performance and proactively recommend adjustments. Analyze results and identify opportunities to improve cost per lead, registrations, and sales. Participate in weekly strategy meetings. Continuously bring fresh ideas, creative concepts, AI workflows, and marketing best practices. Budget & Growth Mindset We're operating like a startup. Our initial paid media budget will be no more than approximately $500 per week until we've proven the messaging, targeting, and overall sales funnel. Because of that, we're looking for someone who understands how to make every advertising dollar count. This role is about disciplined testing, thoughtful experimentation, and continuous optimization—not simply increasing ad spend. Success will come from identifying the right audiences, refining creative and messaging, improving conversion rates, and using data and AI to make smart adjustments that produce measurable results. If you're accustomed to relying on large advertising budgets to generate results, this probably isn't the right fit. If you enjoy building efficient, high-performing campaigns with limited resources and then scaling once the model is proven, we'd love to meet you. Qualifications We're looking for someone with experience in several of the following areas: Paid social advertising, particularly Meta (Facebook and Instagram) Growth marketing for online businesses or digital products Copy editing and content refinement Email marketing optimization Creative testing and messaging optimization Marketing analytics and dashboard creation Conversion optimization Google Analytics, Meta Ads Manager, Looker Studio, Airtable, or similar reporting platforms Experience using leading AI tools to improve marketing performance Comfort with AI-assisted coding ("vibe coding") to create simple automations, workflows, or productivity enhancements Strong written and verbal communication skills Most importantly, we're looking for someone who is curious, embraces new technology, thinks both creatively and analytically, and enjoys finding smarter ways to market. Success Looks Like By September 1, we want to: Fill every available Boot Camp seat. Build a repeatable customer acquisition process. Identify the highest-converting audiences. Determine which messaging and creative performs best. Build reporting that helps us continuously improve future launches. Develop AI-powered marketing workflows that make our team faster and more effective. Establish a scalable marketing engine that can grow as our advertising budget increases. Who Will Love This Role This is a great opportunity for someone who loves learning, experimenting, and building. You might be an ambitious marketing student, a recent graduate, or an early-career marketer looking for an opportunity to gain real-world experience across every aspect of growth marketing. If you're naturally curious, eager to learn, and excited to move quickly, you'll fit right in. Our environment is fast-paced, collaborative, and entrepreneurial. We're going to try a lot of things. Some ideas will work. Others won't. That's exactly how we want to operate. We'll launch campaigns, study the data, improve the messaging, test new creative, refine the audience, leverage AI, and keep getting better. We aren't looking for perfection—we're looking for continuous learning and improvement. You'll work directly with the founders, contribute ideas from day one, experiment with the newest AI tools, and help build a company from the very beginning. If you're looking for a predictable job where everything is already figured out, this probably isn't the right fit. If you're energized by solving problems, moving quickly, learning constantly, using AI to work smarter, and helping build something special, we'd love to meet you. Why This Opportunity Is Different We're not hiring someone to manage ads. We're looking for a true growth marketing partner who wants to help build a brand. If this launch is successful, we'd like this relationship to continue as we expand into additional Boot Camps, memberships, live events, and other digital products. To Apply Please include: A brief overview of your relevant experience. Examples of paid media campaigns you've managed and the results achieved. Examples of marketing content or messaging you've helped improve. Tell us which AI tools you use regularly and how they've improved your marketing workflow. Describe any AI-powered automations, "vibe coding" projects, or custom workflows you've built to improve productivity or campaign performance. The reporting tools and dashboards you typically use. An example of a campaign that wasn't performing well and how you diagnosed the problem, adjusted your strategy, and improved the results. Why this opportunity interests you. We care far more about curiosity, creativity, initiative, and a willingness to learn than having the perfect résumé. If you're excited by AI, growth marketing, experimentation, and the opportunity to help build a company from the ground up, we'd love to hear from you.