Careers at Reef.ai | Join the crew!

Location: 100% Remote

Job Type: Full-Time / Early Stage Startup

Overview

You’ll be the connective tissue between our customers and product teams—owning complex implementations, surfacing data-backed insights, and translating both into the next version of what we build. Thriving here means loving ambiguity and speed far more than polished process. In practical terms, that looks like:

Hands-on & scrappy: You design the playbook while running the play—prototype, iterate, and ship before most companies finish their slide deck.
Bias for action: Fast, informed decisions > exhaustive alignment. You learn by shipping.
Many hats, fluid scope: Morning with a CCO, afternoon in BigQuery, evening polishing a PRD.
Energized by uncertainty: Ambiguous, shifting requirements feel like opportunity, not risk.
Resource-light creativity: When tooling, budget, or org charts are missing, you hack simple solutions and keep moving.
Builder’s motivation: Visible impact and creating from scratch beat optimizing a tiny slice of a massive system.
AI-first experimentation & boundary-pushing curiosity: You’re the teammate who instinctively reaches for LLMs and emerging AI agents to automate grunt work, prototype smarter workflows, and move 10× faster, then shares the playbook so the whole squad levels up.

If this sparks energy (not anxiety), read on.

Key Responsibilities

1. Customer Implementation & Executive Relationship Leadership (60%)

Drive end-to-end implementations, change-management plans, technical solutioning, and executive readouts.
Act as a trusted advisor to C-suite sponsors; turn new logos into reference customers.
Translate evolving requirements into crisp project plans and push them to “done.”
Spot expansion opportunities and partner success risks early, sharing learnings internally in real time.

2. Data Analysis & Insight Generation (30%)

Mine BigQuery/SQL and Google Sheets for actionable insights.
Accelerate work with an AI-first toolkit (comfortable exploring tools with LLM-assisted coding, Google Colab, etc.).
Publish clear, well-structured analysis that illuminate both what happened and why.

3. Product Input & Requirement Definition (10%)

Convert customer context + data analysis into data requirements for engineering.
Champion low-friction, high-impact product tweaks uncovered during implementations.

Skills & Qualifications

Customer Relationship & Implementation Leadership – seasoned with senior-exec stakeholders and complex rollouts.
Project & Timeline Management – relentless ownership in lean, high-velocity environments.
Startup DNA – thrives in ambiguity, minimal process, async work.
Data Analysis Expertise – SQL (BigQuery), Sheets, AI/LLM-accelerated workflows; compelling data storytelling.
Decision Velocity & Critical Thinking – comfortable making the call with 70 % of the data.
Communication – distill complexity for execs, engineers, and non-technical partners alike.
Technical Translation – turn messy customer feedback into build-ready requirements.

Preferred Experience

Former management/strategy consultant who led client delivery and executive presentations.
Early-stage startup or high-growth scale-up contributor (ideally Series A–C).
Demonstrated use of AI/LLM tools to speed analytics or prototyping.

Why This Role Rocks

Immediate impact: Your work shapes customer outcomes and the product in weeks, not quarters.
Ownership: See a problem? You have the mandate to solve it—no red tape.
Growth: Join early, wear the hats that excite you, and carve your own path.
Collaborative autonomy: Results over optics; work async with a tight-knit crew.

Key Details

Compensation: $120K-$150K base salary, with equity and variable compensation
Location: 100% Remote, with preference for Seattle, WA for quarterly collaborations
Benefits: Health, dental, and vision insurance; unlimited PTO
Career Acceleration: Opportunity to lead the Customer Team (dependent on job performance)

Ready to build, not just optimize? Email your resume and why you are interested in this role today.