Head of Product
Company | Coactive |
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Location | San Francisco, CA, USA, San Jose, CA, USA |
Salary | $300000 – $335000 |
Type | Full-Time |
Degrees | |
Experience Level | Expert or higher |
Requirements
- 12+ years of experience in product management, including building enterprise SaaS or AI/ML products. Startup experience strongly preferred.
- Experience defining and scaling 0-1 and 1-N products, ideally in B2B SaaS or data/AI infrastructure.
- Strong technical acumen; comfortable discussing architecture, APIs, and data platforms with engineers and customers alike.
- Exceptional leadership skills: you’ve built and led high-performing product teams.
- Customer-obsessed, with a track record of delivering products that solve real customer problems.
- Excellent communication skills; able to influence at all levels, from founders to enterprise customers.
- Comfort operating in fast-paced, ambiguous environments.
- Passion for AI, visual data, and the future of data-driven decision-making.
Responsibilities
- Set the product vision and strategy and translate it into an actionable roadmap aligned with company goals.
- Lead end-to-end product development, from discovery to delivery, ensuring customer-centric outcomes.
- Lead with empathy and EQ, building trust with internal teams and external stakeholders alike.
- Partner closely with Engineering, Sales, Customer Success, and Marketing to define priorities and ship high-impact solutions.
- Build trusted relationships with key enterprise customers, deeply understand their needs, and turn insights into scalable solutions.
- Own the product lifecycle and manage prioritization, scope, trade-offs, and delivery timelines.
- Lead, mentor, and grow a world-class product team over time.
- Develop a clear point of view on product-market fit, go-to-market strategies, and competitive differentiation.
- Be the voice of the customer and evangelize the Coactive AI product vision internally and externally.
- Contribute to pricing strategy, packaging, and positioning as we scale.
Preferred Qualifications
- Experience with visual data platforms, computer vision, or data-centric AI.
- Prior experience working directly with large enterprise customers.
- Familiarity with SaaS pricing, packaging, and enterprise sales motion.
- Background in engineering, data science, or design.