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Staff Product Manager, Machine Learning (ML)

Company: Instabase
Location: New York
Posted on: May 16, 2022

Job Description:

80% of enterprise data remains unstructured, underpinning critical business workflows and requiring manual processing today. To transform customer experiences, drive bottom-line efficiencies, and achieve full digital transformation, organizations need to automate manual processes reliant on unstructured data.

At Instabase, we're passionate about democratizing access to cutting-edge AI innovation to enable any organization to solve previously unsolvable unstructured data problems in their industry. With customers representing some of the largest financial institutions in the world, and investors like Greylock, Andreessen Horowitz, and Index Ventures, our market opportunity is undeniable.

At the center of our value proposition is our people, and we've built a fearlessly experimental, endlessly curious, customer focused team who together, are fundamentally changing how developers build and distribute intelligent business applications. Remote-first, at 300 employees and growing, and with office hubs in Menlo Park, New York, London and Bangalore, we're looking to add to our talent community so we can continue to harness the power of deep learning to transform our customer's most complex business processes.

Come help us build for the next stage of growth and scale -- accelerate your career with Instabase!

Our Product Team drives all product activities from vision to impact. We engage with customers to understand their needs, develop long-term product strategy, define roadmaps, partner with engineering to execute on those roadmaps, and coordinate with internal and stakeholders to fundamentally transform our customers' businesses.

Come join our adventure!

What You'll Do
Overall direction of the Instabase Operating System: Discover new opportunities to make our platform work better for our customers, whether it's small optimizations or large overhauls, and guide us through ideation, development, and launch.
Prioritization of customer requests and long-term platform goals: As a startup, there's always more work to be done. You will balance incoming customer requests and deadlines with longer-term projects.
User experience of Instabase apps: We're obsessed with helping our users (often developers) build incredible applications on the platform. You will identify ways to improve the underlying primitives and tooling to improve the speed and ease with which developers are able to solve their business problems.
Feedback loop between our go-to-market team and engineering team: Establish a direct connection between our go-to-market team and engineering team to gather customer feedback and ensure launches go smoothly.
Metrics to measure success: Define what success looks like and analyze leading metrics to ensure we set measurable goals and meet them.

About You
6+ years as a product manager
Educational background in computer science or related engineering practice
Comfort with ambiguity and prioritization in a scaling start-up environment
Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders in written and verbal form
Entrepreneurial sense of ownership of the success of the product, with full ownership and accountability of business outcomes
Experience working with both technical and non-technical users

Research shows that in order to apply for a job, women feel they need to meet 100% of the criteria while men usually apply after meeting about 60%. Regardless of how you identify, if you believe you can do the job and are a good match, we encourage you to apply.

Instabase is an equal opportunity employer and values diversity in all forms. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, protected veteran status, disability, or any other unlawful factor. Instabase complies with local laws, including the San Francisco Fair Chance Ordinance.

Keywords: Instabase, New York , Staff Product Manager, Machine Learning (ML), Executive , New York, New York

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