Careers at Reef.ai | Join the crew!

Remote • Full Time (preferably Seattle / Portland)

🌟 Are you interested in applying your RevOps and Analytics skills to a new role?

🌟 Are you looking to gain some customer-facing experience?

🌟 Are you keen to learn about machine learning and data science on the job?

🌟 Are you excited to make the jump into early stage startup, helping us build our product, processes, and culture?

About Reef.ai

Reef.ai is an AI-powered customer data, scoring, and recommendation platform. Reef leverages machine learning to deliver Outcome-Based Scoring, AI-led customer scores optimized for specific revenue outcomes.

Reef is addressing a significant gap in the market by taking on the highly valuable and nuanced problem of customer scoring and resource prioritization. We’re off to a great start with a strong team, an amazing product, and experienced, supportive investors. Now we’re looking to add the right people to help us take our next step towards becoming a market-defining company.

We are seeking an experienced Revenue Operations and/or Analytics Generalist to join our team and play a key role in leading customer engagements. You will act as a RevOps/Analytics extension of our new customers, partnering with them to deliver value with the Reef platform. This is an exciting opportunity to work in a fast-paced environment, tackle challenging problems, and contribute to impactful AI projects.

Responsibilities:

Serve as the primary liaison with our customers, leading client engagements through operationalization and sharing customer feedback with internal teams.
Lead and manage project timelines, customer requirements, and product requests to ensure our customers achieve value with Reef’s platform.
Collaborate with our data science, data engineering, and product teams to translate customer preferences, business context, and data nuances into project deliverables.
Communicate with various stakeholders internally and with our customers’ data/analytics, operations, and go-to-market teams.
Stay up-to-date with the latest advancements in data science, machine learning, AI technologies, and customer analytics.

A Bit About You:

You’re an operator. You have a track record of bridging the gap between delivering insights and driving action through effective planning and operationalization.
You are fluent in data. You regularly use data to tell a story and influence decision making. You can analyze data, explore data warehouses, and translate customer data nuances and business context into project and/or product requirements for internal technical teams.
You can see both the trees and the forest. You navigate easily between in the weeds, project details and keeping project milestones and outcomes on track.
You can communicate complex insights in a simple, actionable way to both business and technical audiences. You can communicate across a variety of mediums, from detailed documentation in Notion to concise, customer-facing presentations.
You are a collaborative problem solver. You partner with technical team members to identify creative solutions to overcome data and operational challenges.
You’re eager to learn and contribute to a growing product and company! You have a learner’s mindset, always ready to receive/give feedback, and improve processes as we build them.

Skills You’ll Need:

5 years of experience in an analytical and operational role, such as Revenue Operations, Sales Strategy, or Analytics.
Excellent attention to detail to manage multiple priorities and project timelines.
Excellent problem solving and stakeholder management skills to advocate for customer outcomes and timelines internally and externally.
Excellent communication skills, both written and verbal, to effectively convey complex findings to stakeholders and customers.
Entrepreneurial mindset to see additional opportunities for growth.
Experience with customer analytics (such as churn prediction or propensity to buy analysis).
Comfortable with Google Sheets, Google Slides, Salesforce, SQL, and Notion.

Bonus But Not Required:

Solid understanding of navigating around Salesforce objects and data structures.
Experience working with data engineers and data scientists.
Experience working with systems administrators.
Experience with Google BigQuery.

Why Reef:

Join a start-up solving a high-impact problem and backed by experienced leadership and investors.
Positive, supportive culture where employees are empowered to do their best work.
Amazing opportunity for professional growth. Young company, allowing you to be empowered and trusted to make impactful decisions and contribute strategically.
Attractive compensation package including early-stage equity/stock options.
Flexible working arrangements.

Benefits:

Health, dental, and vision insurance
WFH stipend
Unlimited PTO — take time when you need it
Twice a year company meetups — this year the team went to Hawaii in Feb and going to Portland in August!
11 public holidays

If you possess these qualities and are excited about the opportunity to join an early-stage startup and make a significant impact on its success, we encourage you to apply.