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

Note: We are a well-funded startup with a very high engineering bar, working alongside senior engineers with experience from leading AI labs. This is a smaller initial paid task, but we pay well for excellent work and there is potential for a much larger collaboration if the fit is strong. Your PRs will be reviewed by strong engineers, so we are looking for someone who takes ownership, thinks clearly, and cares about shipping clean, production-ready code. Please only apply if you can hold yourself to that standard. We are not looking for generic AI-generated output or low-effort execution. # Implement Probabilistic Attribution Between Marketing Website and Electron Desktop App We have a marketing website where users can click to download our Mac desktop app. The app is distributed as a standard Mac DMG and built with Electron. We use PostHog for product analytics, and we also run Google Ads. Users may eventually sign in inside the desktop app through ChatGPT/auth, but many users will first be anonymous. We want to implement a simple first version of attribution that helps us understand which website visitors / ad campaigns / download clicks later become desktop app users. ## Goal Build a lightweight probabilistic matching system that connects: 1. A user visiting the marketing website 2. The same user clicking “Download” for the Mac DMG 3. The desktop app being opened for the first time 4. The user later signing in, when applicable The goal is not perfect identity matching. The goal is good-enough attribution for our current low-volume flow, roughly around 100 download clicks per week. ## What needs to be figured out The developer should determine the best simple implementation for: - Capturing enough information on the marketing website when someone clicks the Mac download button - Capturing enough information from the Electron app on first open - Matching those two events probabilistically on the backend - Passing useful attribution information into PostHog events - Associating the attribution with the authenticated user once the user signs in - Testing that the full flow works end-to-end The likely matching signals are things like timestamp proximity, hashed IP, platform, timezone, language/locale, and other non-invasive browser/app context. The implementation should avoid overcomplicated or privacy-invasive fingerprinting. ## What we should do Implement a simple backend-backed attribution flow: - When someone clicks “Download for Mac” on the website, create a download-attribution record. - Capture campaign data such as UTMs, Google Ads click ID if present, landing page, referrer, and PostHog anonymous/browser ID where available. - When the Electron app first opens, create or retrieve a persistent app install ID. - Send a first-open event from the app to the backend. - Backend attempts to match that first app open to a recent download click. - Store the match with a confidence level such as high/medium/low/unmatched. - Send attribution metadata as properties on relevant PostHog events. - Once the user signs in, connect the app install and attribution record to the authenticated user ID. ## What we should not do in this version We do not want to overbuild this. Do not: - Generate a unique DMG per user - Modify the signed Mac app bundle - Inject tokens into the installer - Implement custom deep links yet - Build a full deterministic attribution system - Use probabilistic matching to permanently merge PostHog user identities - Send raw IP addresses to PostHog - Add invasive browser fingerprinting Probabilistic attribution should be treated as estimated attribution, not as guaranteed user identity. ## Expected deliverables The task is complete when: - The website download flow records download intent and campaign metadata. - The Electron app records first-open/install metadata. - The backend can probabilistically match app first opens to recent website download clicks. - PostHog receives app events with attribution properties when a match exists. - The system links the app install to the authenticated user after sign-in. - There is a way to inspect/debug attribution matches. - The implementation is tested locally or in staging with realistic flows: - normal download → immediate app open - delayed app open - no matching download - multiple download clicks from the same network - user signs in after opening the app ## Important constraint This is a first version. We prefer a simple and maintainable solution that gives us useful attribution data over a complex solution that tries to be perfectly accurate.

Overview We’re looking for a smart, organized, AI-savvy marketing consultant to support our B2B marketing team across content development, social media execution, and marketing project management. This is a generalist role, not a narrow specialist role. The right person is comfortable moving between writing, content repurposing, social media planning, campaign coordination, and project follow-through depending on what the team needs most each week. You’ll be a hands-on extension of our marketing team, helping turn ideas, conversations, and existing assets into polished marketing materials while keeping projects organized and moving forward. What You’ll Support 1. Content Development & Repurposing You’ll help turn existing ideas, outlines, transcripts, webinars, podcasts, and rough notes into polished marketing content. This may include: * Drafting blog posts, article outlines, and thought leadership content * Repurposing long-form content into social posts, email copy, and campaign assets * Adapting messaging for different channels, audiences, and formats * Using AI tools to speed up research, drafting, editing, and content workflows * Helping ensure content is clear, accurate, polished, and aligned with our brand voice 2. Social Media Management & Execution You’ll support social content planning and execution across key marketing channels. This may include: * Drafting LinkedIn posts and social captions from existing marketing materials * Repurposing blogs, webinars, podcasts, and campaigns into social content * Helping organize and maintain a social content calendar * Creating simple supporting visuals or content layouts in Canva or similar tools * Supporting publishing workflows and content distribution 3. Marketing Project Management You’ll help keep marketing initiatives organized, on track, and moving from idea to execution. This may include: * Managing timelines, deliverables, and next steps for marketing projects * Coordinating with internal team members and subject matter experts * Gathering inputs, organizing feedback, and helping move projects forward * Supporting webinars, events, speaking opportunities, and campaign execution * Researching conferences, podcasts, webinars, and other brand-building opportunities Sample Projects Examples of work may include: * Turning a webinar or podcast transcript into a blog post and several LinkedIn posts * Taking a rough outline and turning it into a polished content draft * Creating a weekly batch of social posts from existing thought leadership * Helping manage the timeline for a webinar or event marketing campaign * Drafting and formatting marketing emails in HubSpot * Researching speaking opportunities and organizing submission details * Supporting award submissions or promotional campaigns across email and social What We’re Looking For The ideal candidate is a strong marketing generalist who is organized, proactive, and comfortable using AI tools as part of their daily workflow. You should have: * Experience working in a B2B marketing environment * Strong writing, editing, and content development skills * Strong organization and project management skills * Experience supporting social media content, especially LinkedIn * Comfort managing multiple projects and moving pieces at once * Ability to work independently and communicate clearly * A fast-moving, detail-oriented working style * Experience using AI tools such as ChatGPT, Claude, Gemini, Perplexity, or similar platforms to improve speed and quality Who You Are You’re someone who can take a rough idea and help turn it into something useful, polished, and ready to ship. You enjoy working across different areas of marketing rather than doing the same narrow task every day. You’re organized enough to keep projects moving, thoughtful enough to improve the work, and resourceful enough to figure things out without needing constant oversight. You don’t need to be a deep specialist in every channel. We’re looking for someone with good marketing instincts, solid writing skills, strong follow-through, and the ability to use AI and smart workflows to get high-quality work done efficiently. Engagement Details * Approximately 10 hours per week * Part-time consultant role * Initial short-term engagement with potential to extend * Remote * B2B marketing experience preferred To Apply Please answer the following: 1. Tell us about your experience working across content, social media, and marketing project management. 2. Share an example of a piece of content or social post you created or helped develop. Why did it work? 3. Walk us through how you’ve repurposed one content asset into multiple formats. 4. Share 2 AI tools you actively use and explain how you use them in your marketing workflow. 5. Describe a marketing project you helped manage or coordinate. What was your role in keeping it moving?

We’re seeking a talented AI Narrative Prompt Designer to design the intelligence behind Guroute’s storytelling engine. This is not a traditional prompt design role, as it involves creating a dynamic narrative system that can adapt to user interactions. The ideal candidate will have experience in AI and narrative design, with a strong understanding of storytelling principles and AI technologies. This candidate should have in-depth knowledge of how to write prompts to get the best outcome for the task.

I'm a debt and equity analyst and I need a clean, reliable Excel tool to track my deal pipeline. I want something simple that just works — the macros must be fully built in and working on delivery (I don't want to import any code myself), and the file must open without any corruption errors. Environment: Excel on Windows (desktop). Outlook desktop is available for any email features. MUST-HAVE - Pipeline tab — a table with these columns: Deal Name, Borrower/Sponsor, Type (Debt/Equity/Mezz), Size ($), Status (Chasing / In Market / Quoted / Closed), Date Uploaded (manually editable), Follow-Up Date (auto-calculated as Date Uploaded + 2 days, but overrideable), Notes, and an ID. Type and Status must be dropdowns. Overdue follow-up dates should highlight automatically. - Add/Edit Deal form tab — a simple intake form to add a new deal or edit an existing one. Saving pushes the entry straight into the Pipeline tab. I also need to be able to edit deals directly in the Pipeline. - Dashboard tab — auto-updating summary: deal counts by status, total pipeline volume, volume by type, and a count of overdue follow-ups. - Working buttons for Add, Edit, Delete, and Export to CSV. - Follow-up reminders on open — when I open the file, it shows me a list of deals with follow-ups due today or overdue, so nothing slips through. - Status-change timestamps — when a deal's status changes, auto-record the date so I can see how long a deal has been at its current stage. NICE-TO-HAVE (please quote these separately so I can decide) - Auto-archive — when a deal is marked Closed or Dead, move it to a separate Archive tab to keep the active pipeline clean while preserving history. - Aging / conversion analytics — average days at each stage, time from Chasing to Quoted, and win rate by lender. - Quick filter buttons — one-click views like "In Market only" or "follow-ups due this week." Deliverables: One working .xlsm file with all macros pre-installed and tested end to end, plus brief instructions on enabling macros. This is a small, well-defined project. Please share an example of a similar Excel/VBA tool you've built, and confirm you've tested macro-enabled files on Windows Excel.

We are seeking a highly organized and detail-oriented executive assistant to support the CEO of our construction company. The ideal candidate will have experience in managing calendars, coordinating travel, and preparing presentations. Strong communication skills and the ability to maintain confidentiality are essential. This role requires someone who can work independently and efficiently in a fast-paced environment.

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