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Salary
$184k – $369k per year (Estimated)
Location
In office (San Francisco)
Seniority
Architect · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Crossing Minds builds recommendation infrastructure that personalises catalogues without relying on third-party tracking data. Founded in 2017 in San Francisco, its models work from first-party behaviour and content understanding. Retail and media companies use it to power discovery in their own applications.

What you'll be doing

  • Lead, define, and communicate the strategy, vision and roadmap of our AI platform with all key stakeholders, partnering with CEO & CTO
  • Build processes to deliver AI-driven solutions that satisfy the needs of our B2B customers
  • Collaborate with UX design efforts supporting product iterations of our B2B dashboard as well as integrated platforms
  • Collaborate with engineering and machine learning teams to master the specifications of our AI platform and APIs, and lead technical product development and integrations initiatives
  • Build and nurture an agile and innovative product culture within the company, founded on the importance of continuous and rapid prototyping and learning
  • Assess product development sprints and enhancement opportunities, monitor progress and evaluate results
  • Develop budgets, forecasts, and metrics
  • Drive innovative ideas, solutions and products through leadership and decisive action
  • Understand the evolving competitive landscape and identify potential strategic partnerships for complementary product offerings

What you should have

  • 5-7 years experience in technical B2B product management
  • Demonstrated track record of building high value product teams
  • Demonstrated success in shipping and iterating on products within an agile software development environment
  • Ability to understand highly technical business problems, craft effective strategies to tackle them, and present simple solutions to our customers
  • Outstanding written and verbal communication skills
  • Extremely well organized with the ability to balance multiple concurrent priorities in a fast-paced and dynamic startup environment
  • Nice to have: familiarity with ML/AI technologies, strong interest in personalization and recommendation systems, familiarity with real-time APIs and CDPs
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