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What You'll Do

• •Own the roadmap for innovation projects. Prioritize features against company goals and real user needs.
• •Ship production-quality apps, automations, and integrations connecting APIs, MCPs, and platforms into workflows that hold up.
• •Talk to users, study workflows, and make the new way so easy nobody misses the old way.
• •Ship working software fast, instrumented for usage and outcomes. Kill what doesn't work, double down on what does.
• •Contribute to a small, distributed team through clear written communication, documented decisions, and artifacts over meetings.

Nice to Have

• •Experience with Next.js, TypeScript, or Vercel deployments
• •Prior work integrating LLMs into production products
• •Background in a consultancy or startup environment

You

• •Think in products, not tickets. You understand why something should be built before you decide how.
• •A natural integrator, fluent in APIs, MCPs, webhooks, and modern web development (TypeScript, Next.js, cloud platforms).
• •Use AI-assisted development tools (Claude Code, Copilot, etc.) confidently and critically.
• •Comfortable in ambiguity. Startup-speed, consultancy-variety, no hand-holding required.
• •Write clearly. Async teams run on good writing, not good meetings.

Details

What You'll Do

• •Test custom SPFx web parts and pages across desktop and mobile breakpoints.
• •Run regression checks after each deployment to SharePoint Online.
• •Document bugs with screenshots, device/browser info, and steps to reproduce.
• •Validate UI against Figma designs (pixel-level attention to detail).
• •Test cross-browser compatibility (Edge, Chrome, Safari, mobile browsers).
• •Flag responsive layout issues before they reach client-facing demos.
• •Coordinate directly with the lead developer on fix verification.

Nice to Have

• •Experience in a startup, consultancy, or small-team environment
• •Deep familiarity with Power Platform, Microsoft 365 admin, or Teams app testing
• •Exposure to CI/CD or deployment pipelines for SPFx
• •Basic understanding of responsive CSS and React component structure

You

• •Hands-on QA experience with SharePoint Online or SPFx custom solutions.
• •Comfortable testing across devices, browsers, and screen sizes.
• •Can read a Figma file and spot what is off.
• •Strong written communication: clear, actionable bug reports.
• •Reliable availability during U.S. Eastern business hours for coordination.

Details

What You'll Do

• •Build and maintain Power Automate flows (cloud and desktop) for client automation use cases.
• •Configure and customize SharePoint Online sites, lists, libraries, and permissions.
• •Design and build model-driven and canvas apps in Power Apps for internal and client-facing tools.
• •Set up and manage Dataverse tables, relationships, and security roles.
• •Integrate across the M365 ecosystem: Teams, Outlook, Forms, Excel, and third-party connectors.
• •Troubleshoot and optimize existing automations for reliability and performance.
• •Document solutions with clear SOPs so client teams can maintain them independently.

Nice to Have

• •Experience with Azure Logic Apps or Azure Functions as extensions of Power Platform
• •Familiarity with Power BI for reporting and dashboard delivery
• •Exposure to ALM practices for Power Platform (solution packaging, environment strategy)
• •Basic understanding of SPFx and how custom code interacts with SharePoint

You

• •Deep, hands-on experience with Power Automate, Power Apps, and SharePoint Online administration.
• •Understand Dataverse schema design, security roles, and environment management.
• •Can configure solutions that meet enterprise permission and governance requirements.
• •Comfortable working in client tenants with appropriate access controls.
• •Communicate clearly in writing. Async teams run on good documentation, not meetings.
• •Have worked in a consultancy, agency, or small-team environment where you owned delivery end to end.

Details

What You'll Do

• •Configure and maintain integrations across SaaS platforms using Zapier, Make, native connectors, and API-level connections.
• •Set up, clean, migrate, and structure data inside CRMs (HubSpot, Pipedrive, Salesforce) and other operational tools.
• •Build and manage automation workflows for intake, routing, notifications, and follow-up sequences.
• •Run data hygiene projects: deduplication, normalization, field mapping, and import/export operations.
• •Configure enrichment and prospecting tools (Clay, Apify, clearbit-style platforms) as part of larger workflows.
• •Document integration logic and data flows so client teams understand what connects to what and why.
• •QA your own work: verify data integrity after migrations, test automations under real-world conditions.

Nice to Have

• •Experience with Clay, Apify, or similar data enrichment / scraping platforms
• •Familiarity with SharePoint Lists, Microsoft 365 integrations, or Power Automate
• •Comfort with basic scripting (JavaScript, Python) for edge-case data transformations
• •Experience in a consultancy or agency environment supporting multiple clients in parallel

You

• •A platform power user. You can jump into a SaaS tool you have never used and figure out its automation, import, and API capabilities quickly.
• •Hands-on CRM administration experience. You have configured pipelines, custom fields, automations, and reporting in at least one major CRM.
• •Understand data quality at a practical level: what clean data looks like, how it gets dirty, and how to fix it without losing information.
• •Detail-oriented and methodical. You test before you ship, and you document what you build.
• •Write clearly. You will often hand off documented workflows to client teams who need to maintain them.
• •Comfortable working independently in an async-first environment.

Details

What You'll Do

• •Design and implement data pipelines on Azure (Data Factory, Synapse, Functions, Event Hubs) for client automation and analytics use cases.
• •Architect LLM integration patterns: model orchestration, prompt management, output validation, and cost optimization.
• •Define data security and governance models: access controls, encryption, audit logging, data minimization, and environment boundaries.
• •Build and maintain ML/AI infrastructure for classification, summarization, and extraction workflows.
• •Evaluate and recommend model deployment strategies (Azure OpenAI, self-hosted, API-based) based on client requirements.
• •Advise on data architecture decisions across client engagements, including schema design, storage strategy, and integration patterns.
• •Support compliance and security reviews for regulated clients (financial services, healthcare-adjacent).

Nice to Have

• •Experience with Microsoft 365 data integration (Graph API, Dataverse, SharePoint as a data layer)
• •Background in financial services, healthcare, or other regulated industries
• •Familiarity with vector databases, RAG architectures, and retrieval-augmented generation patterns
• •Experience building multi-model pipelines (routing, fallback, ensemble strategies)

You

• •5+ years of data engineering experience with significant depth in Azure cloud services.
• •Understand ML/LLM deployment patterns at a production level, not just prototyping.
• •Can design and implement data security architectures: role-based access, encryption at rest and in transit, audit trails, and least-privilege principles.
• •Have worked with LLM APIs (Azure OpenAI, Anthropic, etc.) in production contexts with real governance requirements.
• •Think in systems. You see how data flows across an organization and can spot where it breaks, leaks, or bottlenecks.
• •Communicate technical architecture decisions clearly to both engineering teams and non-technical stakeholders.
• •Comfortable in a fractional/advisory capacity where you may design systems that others implement.

Details

What You'll Do

• •Design and iterate on prompt architectures for classification, summarization, extraction, drafting, and routing tasks.
• •Build evaluation frameworks: test suites, scoring rubrics, and regression checks for prompt performance.
• •Develop and maintain prompt templates and libraries across client engagements.
• •Test edge cases, adversarial inputs, and failure modes before they reach production.
• •Tune multi-model pipelines: select models, configure routing logic, optimize for cost/quality/latency tradeoffs.
• •Define and enforce guardrails: output validation, content filtering, confidence thresholds, and human-in-the-loop triggers.
• •Prototype rapid AI experiments: build minimum-viable AI workflows to validate use cases before full engineering investment.
• •Document prompt design decisions and maintain version-controlled prompt repositories.

Nice to Have

• •Experience building RAG systems, agentic workflows, or tool-use architectures
• •Background in NLP, computational linguistics, or ML evaluation methodology
• •Familiarity with prompt management platforms (Langsmith, Humanloop, or similar)
• •Exposure to compliance or safety-critical contexts where output reliability is non-negotiable

You

• •Deep, practical experience designing prompts for production systems, not just chat experiments.
• •Understand model behavior across providers (Claude, GPT, open-source) and can make informed model selection recommendations.
• •Think in systems. You see prompts as components inside larger workflows, not standalone instructions.
• •Rigorous about evaluation. You build tests, measure outputs, and make data-driven decisions about what is working.
• •Can prototype quickly. Comfortable with Python, API calls, and lightweight tooling to stand up test workflows fast.
• •Communicate clearly in writing. You document your reasoning, your test results, and your recommendations.

Details

What You'll Do

• •Manage project timelines, milestones, and deliverable tracking across multiple concurrent client engagements.
• •Run client communications: status updates, expectation setting, scope discussions, and feedback loops.
• •Coordinate across the contractor team: assign work, track progress, unblock dependencies, and manage handoffs.
• •Own the adoption and enablement phase: training sessions, user onboarding, SOP delivery, and feedback collection.
• •Monitor usage and outcome metrics post-launch and surface insights to the team and client.
• •Produce client-facing deliverables: project plans, status reports, pilot summaries, and impact recaps.
• •Flag risks early: scope creep, timeline drift, resource conflicts, and client satisfaction signals.
• •Help structure proposals and SOWs for new and expanding engagements.

Nice to Have

• •Experience in a boutique consultancy, agency, or startup environment (not just large enterprise PMOs)
• •Familiarity with Microsoft 365 environments, CRM platforms, and automation tools
• •Background in change management, user adoption, or customer success roles
• •Comfort with light scoping and estimation for technical work

You

• •Have managed software or technology consulting projects with direct client accountability.
• •Technically fluent. You do not need to write code, but you understand how software gets built, how integrations work, and what realistic timelines look like.
• •An exceptional written communicator. You write clear status updates, concise meeting recaps, and client-ready documents without hand-holding.
• •Have a service orientation. You genuinely care about whether clients are getting value and whether end users are adopting what was built.
• •Organized and proactive. You track details, follow up without being asked, and surface problems before they become emergencies.
• •Thrive in async-first environments. You use tools and written artifacts to keep people aligned instead of scheduling calls.

Details