Keebo is a venture-backed startup that offers a turnkey cloud-based Data Learning platform for automating and accelerating enterprise analytics. With the data warehousing market expected to grow to $51B annually by 2028, Keebo is an industry innovator, as the only fully-automated Snowflake optimizer, adjusting dynamically to save many customers 25% and more.
Built on state-of-the-art in machine learning and artificial intelligence, and over 15 years of cutting-edge research at top universities, Keebo reduces tedious and months-long manual operations to a matter of minutes, freeing up data teams to work on improving their core business. Our team is spread across the globe, supporting customers worldwide.
About the Opportunity
As a Product Manager, you’ll help to set product vision and roadmap, collaborate with the engineering team to build the right product, and work with go-to-market teams to get our products into the hands of our customers.
You Will
- Shape the vision, define the roadmap, and drive the execution of new product capabilities that will help delight our customers and meet our company's goals.
- Prioritize product features and technical debt based on customer feedback, business needs, and technical feasibility.
- Develop comprehensive product requirements documents, manage product backlogs, and coordinate the release of new capabilities..
- Collaborate with engineering teams to build world-class products.
- Monitor and report on key product metrics to track product success and identify areas for improvement.
- Conduct market research and competitive analysis to inform product strategy.
- Work with customers to identify pain points and come up with solutions to delight users.
- Work with cross-functional teams including marketing, sales, and customer success to execute the product roadmap.
You Have
- 3+ years of experience in technical product management, preferably with a B2B SaaS product.
- Bachelor's degree or equivalent experience in a technical field such as Engineering, Computer Science, or Information Systems.
- Knowledge of database and data warehousing technologies, with experience in data visualization tools, SQL, and familiarity with data engineering concepts, data modeling, and big data technologies.
- Experience with cloud-based data warehouse platforms like Snowflake, Databricks, BigQuery, or Redshift.
- Strong leadership skills, with the ability to take ownership of initiatives and drive them to completion.
- Excellent communication skills, both oral and written, with the ability to convey complex technical concepts to diverse audiences including developers, business leaders, non-technical stakeholders, and external audiences
- Self-driven and able to work independently, with a high sense of ownership and urgency.
- Strong analytical skills with a proven track record of using data-driven insights to make informed product decisions.
- Experience in building analytical products with user-friendly interfaces, ensuring seamless data visualization and intuitive user experiences.
- Experience with product management methodologies like Agile or Scrum.
- Flexibility to coordinate across different time zones and work with international teams
Nice to Have
- Experience working in a startup environment.
- Understanding of ML and AI technologies, data science concepts, and analytical techniques.
What we Offer
Working with a world-class team of researchers and engineers in machine learning to turn Al algorithms into scalable and automated cloud products
For full-time positions:
- Competitive salary packages
- Equity
- Home office stipend
- Comprehensive medical, dental, and vision benefits
- 401k retirement program
- Annual company offsite (this year the team met up in Cancún, Mexico!)
- Paid time off
- Paid parental leave
Keebo is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, gender, national origin, age, disability, genetic information, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We strive to create a diverse and inclusive workplace where everyone feels valued and respected. We encourage individuals from all backgrounds to apply.
