Join us at Civilization Labs
Director, Strategy & Partnerships (Fractional)
Company: Civilization Labs Location: Remote, US time zones preferred | Occasional travel | NYC optional | Time Commitment: Fractional, 20–25 hours/week | Initial 90-day engagement with a clear path to grow | Reports to: CEO, working closely with the Managing Director and senior leadership team
Civilization Labs
Most important decisions are still made with a mix of instinct, politics, incomplete evidence, and rationalization. Civilization Labs exists to change that. We're building decision-grade validation tools and systems that help teams pressure-test important choices with clarity, evidence, and explicit uncertainty, not narrative or false confidence. Our aim is simple to say and hard to build: turn consequential decisions into auditable outputs people can actually use and stand behind.
The Opportunity
We are creating a new category, and we're looking for the person who will help us find its market. This role is equal parts strategist, partnership-builder, and product compass. You'll help decide which directions we pursue, then build the early relationships and partnerships that prove we chose right.
You think in go-to-market strategy and business development. You understand how new categories get established, how serious buyers decide, and how a first market becomes a repeatable one. Working directly with the CEO and senior team, you'll read the early signal from our first pilots, customers, and partners and turn it into a clear answer to the question that matters most right now: where do we focus, and who do we serve first? Then you'll be in the room helping make it happen.
This is a hands-on, high-judgment seat for someone who wants to help shape a company while its market is still being decided, someone who can both set the direction and do the work to prove it.
What you'll do
Shape the direction. Read the early signal from pilots, customers, and partners, and help us decide which product and market paths to pursue, sharpen, or set aside.
Open the first markets. Identify the highest-value buyers and partners, build the relationships, and personally develop the early pilots and partnerships that prove the motion.
Design the business model. Shape how we package, price, and bring the product to market, and turn what works into a repeatable commercial playbook.
Make the category legible. Help our target buyers instantly understand what we do and why it matters, without jargon or hype.
Turn signal into strategy. Bring the truth back from the market, what buyers value, what they'll pay for, what they don't yet believe, and shape commercial and product direction around it.
This is a roll-up-your-sleeves seat: you set the direction and you do the work to prove it.
Who you are
You know go-to-market strategy and business development deeply. You understand how new categories get built and adopted, and you can tell early signal from noise.
You have personally taken something early and complex to market and built it into real, paid traction, not only managed a team that did it, but have done it yourself.
You are equally at home setting strategy and building the relationships that become revenue. You can read a market, choose a direction, then earn a serious buyer's commitment.
You have strong product, pricing, and positioning instincts, and you understand how those choices decide whether an early product takes hold.
You make new and unfamiliar ideas click for serious buyers in a few plain sentences.
You have sharp judgment under uncertainty: which opportunities are real, which directions are dead ends, and where scarce hours should go.
You are low-ego, fast-moving, and trustworthy with relationships and reputation, including the founder’s network.
You're drawn to hard, consequential problems and want your work to matter beyond the balance sheet.
Our Culture
The biggest calls people make, the strategies, plans, and decisions they can't easily walk back, still often get committed on narrative and gut feeling, and the cost lands on real people. We're here to help pressure-test that thinking before anyone commits. That belief shapes the product, and it shapes our culture: we want to do serious work with people who trust evidence over narrative, chase what's true even when it's inconvenient, and care about the consequences of what they build.
Integrity: Trust starts with honesty, transparency, and respect for reality.
Accountability: We do what we say we'll do, and we take responsibility when we miss.
Collaboration: We solve hard problems together and value clear, generous communication.
Intellectual Curiosity: We stay interested, skeptical, and eager to improve how we think.
Social Impact: We want our work to leave people, institutions, and society a little more clear-eyed than we found them, especially on the choices that matter most.
Compensation
This is an initial 90-day fractional engagement (20–25 hours/week), with a clear path to a larger, ongoing role as the motion takes hold.
Target cash compensation: $10,000–$15,000 per month, calibrated to experience and scope.
We'll structure meaningful upside for the right person, performance tied to outcomes and equity where it fits, so the people who help build the category share in it.
We're also open to a defined 90-day project structure for candidates who prefer a concrete sprint.
How to apply
Send your resume, LinkedIn, and a short note (5–10 lines): one early, complex thing you personally took to market and built into real business, and why you'd want to do it again here. Include one or two examples of past work (redacted is fine): a go-to-market or market-entry plan, a pricing/packaging memo, a partnership you structured, or a strategy artifact.
Email join@civilization-labs.com. Subject: "Director, Strategy & Partnerships – [your name]"
Applied AI Platform Engineer (Memory, Data, and Decision Infrastructure)
Company: Civilization Labs
Location: Remote (US time zones preferred) | NYC optional
Reports to: CEO
Civilization Labs
Most important decisions are still made with a mix of instinct, politics, incomplete evidence, and rationalization. Civilization Labs exists to change that. We're building decision-grade validation tools and systems that help teams pressure-test important choices with clarity, evidence, and explicit uncertainty, not narrative or false confidence. Our aim is simple to say and hard to build: turn consequential decisions into auditable outputs people can actually use and stand behind.
The Opportunity
Civilization Labs is still early enough that the right people will shape not just the product, but the standard behind it. In this role, you’ll help turn our vision into something real: useful software, durable systems, and product experiences that hold up under real-world use. This is a chance to do meaningful zero-to-one work on a system designed for decisions where the cost of being wrong is high.
What you’ll be doing
Architect and build core platform services on Civilization Labs’ proprietary stack — the data, memory, and retrieval layers that turn messy inputs into auditable, decision-grade outputs.
Design and own our memory and knowledge systems: how evidence is stored, versioned, retrieved, and carried across the decision lifecycle, with provenance and uncertainty treated as first-class.
Apply generative AI and agentic systems to real decision-support workflows — integrating, orchestrating, and evaluating models against what actually holds up in use.
Make end-to-end architecture decisions across data stores, services, and infrastructure, and carry them from design through production.
Collaborate closely with product owners and the wider engineering organization to turn hard problems into shipped, reliable systems, refining agile stories and tasks along the way.
What you’ll need
5+ years building and operating production software platforms, backend, or distributed systems at scale.
3+ years in systems and application architecture, with real ownership of design decisions and their tradeoffs.
Hands-on experience designing data and storage layers — relational, document, and vector/embedding stores — and the retrieval or memory systems built on top of them.
Experience integrating and evaluating AI/ML or generative-AI systems in production, or comparable applied research, innovation, and comparative analysis in fast-moving technical domains.
Comprehensive understanding of the Software Development Lifecycle (SDLC) for commercial products.
Proven experience with agile development methodologies on significant projects.
Who you are
Strong organizational skills and keen attention to detail.
Excellent communication and collaboration skills, thriving in a team-oriented environment.
Proactive, eager to tackle technical challenges through research and hands-on experimentation.
Strong problem-solving skills with the ability to pivot and adapt to emerging priorities.
Fluent with modern coding agents (Claude Code, Cursor, GitHub Copilot) and able to get real leverage from them.
Expertise coding with Python and TypeScript/Node.js — the core of our stack.
Familiarity with a compiled language is a strong bonus, as is experience compiling to WebAssembly (WASM).
Comfortable across data stores — relational (e.g., Postgres), document, and vector/embedding databases — and thinking carefully about data modeling, provenance, and lifecycle.
Skilled and eager to explore the tools and frameworks behind modern generative-AI and agentic systems.
Experience with front-end frameworks like Next.js and React — enough to build and own product surfaces end-to-end.
Familiarity with modern developer tools, including VS Code and Git, for efficient coding and collaboration.
Solid understanding of microservices frameworks, databases, messaging platforms, and monitoring tools (Prometheus, Grafana).
Hands-on experience with CI/CD pipelines, cloud providers (GCP in focus), and infrastructure-as-code tools (e.g., Terraform, Helm).
Education
Bachelor’s degree in Computer Science or a related field.
Additional software development and engineering certifications are a plus.
Our Culture
The biggest calls people make, the strategies, plans, and decisions they can't easily walk back, still often get committed on narrative and gut feeling, and the cost lands on real people. We're here to help pressure-test that thinking before anyone commits. That belief shapes the product, and it shapes our culture: we want to do serious work with people who trust evidence over narrative, chase what's true even when it's inconvenient, and care about the consequences of what they build.
Integrity: Trust starts with honesty, transparency, and respect for reality.
Accountability: We do what we say we'll do, and we take responsibility when we miss.
Collaboration: We solve hard problems together and value clear, generous communication.
Intellectual Curiosity: We stay interested, skeptical, and eager to improve how we think.
Social Impact: We want our work to leave people, institutions, and society a little more clear-eyed than we found them, especially on the choices that matter most.
Compensation
We’re an early-stage company, and we try to keep compensation simple, fair, and aligned with the reality of the role.
Base salary: $160,000–$185,000
We may consider adjustments to cash and equity mix.
We’ll place candidates within the range based on their track record, technical depth, and how much end-to-end ownership they can take on from day one.
Application process
If you’re interested, send your resume, cover letter, and links to your LinkedIn & GitHub. In your email, include the following:
Tell us about one product feature or system you personally helped ship. In 5–10 lines, tell us what it did, which parts you owned directly, the stack you used, one important technical tradeoff you made, and what happened once it was in use.
Tell us about one time you used AI tools, automation, or a new technical approach to solve a real product or engineering problem. In 5–10 lines, tell us what you were trying to do, what you built or tested, how you judged whether it worked, what went wrong, and what you changed as a result.
Email join@civilization-labs.com. Please use subject line: “CL - Applied AI Platform Engineer” - [your name]