integrate.ai · 8 hours ago
Head of Product
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AnalyticsArtificial Intelligence (AI)
Comp. & Benefits
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Responsibilities
Creating a clear product vision that will get us from early product-market to scale, fit for an enterprise-level platform
Building and managing high performing teams to define our product strategy and prioritizing our technical efforts (around both engineering & design) to bring it into reality
Owning the innovation lifecycle from early-stage user needs research through requirements gathering and launch while advising on prototyping and development
Translating an understanding of the market and our customers into a product vision and turning that vision into a plan and that plan into reality
Weaving together an empathetic understanding of customers with your knowledge of technology and competition to create product strategies (e.g., positioning, moats, partnerships, go-to-market)
Prioritizing what we should build and when, in collaboration with other stakeholders
Qualification
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Required
A strong track record of developing, implementing, launching, and managing business-to-business SaaS products in an organization in the midst of a pre- to post-product market fit transition
Leadership---leading teams to innovative solutions with a track record of nurturing product talent and fostering a product-focused culture within an organization
Communication--that is, product bridges engineering and business, so there is a strong need for great collaboration, but also skill in using productive conflict to drive clarity and impact
A strong foundation in agile methods so you can be an effective partner to the engineering & ML teams that implement our product vision
You understand the technical architecture of complex applications and can work with engineers to make intelligent technical trade-offs
A purposeful advocacy for design’s importance throughout the product journey. A thorough understanding of the design process thinking and can articulate and return to design’s fundamental importance
A deep technical fluency: an ability to work through the UI and back-end, while also working with ML & research teams to productize their work.
An entrepreneurial spirit: you are a self-starter, can identify opportunities, understand potential impact and effectively prioritize across multiple competing priorities
Preferred
Strong knowledge of the complexities associated with enterprise data systems and the associated technology vendor ecosystem (e.g., BI & analytics, data warehousing, ETL & tooling, ML platforms, etc.) is desired.
Industry experience building products for privacy, compliance & security focused industries such as financial services, insurance, or healthcare is a bonus.
Company
integrate.ai
Integrate.ai is a SaaS startup focused on enabling developers to build machine learning and analytics products across distributed data silos
Funding
Current Stage
Early StageTotal Funding
$49.58MKey Investors
TELUS VenturesPortage VenturesReal Ventures
2018-12-31Corporate Round· $10M
2018-09-12Series A· $30M
2017-09-06Corporate Round· $4.58M
Recent News
2022-08-16
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